{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4c80ab4f-9d00-4c07-b62b-4ee40d75b3a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import scipy as sp\n",
    "import statsmodels.api as sm\n",
    "import pandas_datareader as pdr\n",
    "import datetime as dt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adb234a0-8001-47ae-9287-0df6b8b2e4ce",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> Pandas-datareader</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9415ca7a-0b6b-4996-8f80-3a23776e1f67",
   "metadata": {},
   "source": [
    "From here on, we will practice on real data via ```pandas-datareader``` which is library for retrieving data from various databases, such as FRED, World Bank, Stooq, and etc. \n",
    "\n",
    "Let's take a quick look how to use it."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa10a650-3153-4a7a-93a9-c73e88cfaca7",
   "metadata": {},
   "source": [
    "##  <font face=\"gotham\" color=\"purple\"> FRED</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95ce38e1-741f-4f60-bf9d-c7ebe4c03928",
   "metadata": {},
   "source": [
    "Federal Reserve Economic Data (FRED) is a database maintained by the Research division of the Federal Reserve Bank of St. Louis that has more than 765,000 economic time series from 96 sources. For macroeconomic researches, this is the database you need almost every day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f908d2a3-7d94-4433-acfb-311116429e45",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Data:\n",
    "    def __init__(self, **kwargs):\n",
    "        \"\"\"Input start, end, database\"\"\"\n",
    "        self.__dict__.update(kwargs)\n",
    "\n",
    "    #         self.start = start\n",
    "    #         self.end = end\n",
    "    #         self.database = database\n",
    "\n",
    "    def retrieve(self, data_id):\n",
    "        if self.database == \"fred\":\n",
    "            self.df = pdr.data.DataReader(data_id, self.database, start, end)\n",
    "        elif self.database == \"oecd\":\n",
    "            self.df = pdr.data.DataReader(data_id, self.database)\n",
    "        elif self.database == \"eurostat\":\n",
    "            self.df = pdr.data.DataReader(data_id, self.database)\n",
    "\n",
    "    def normalise(self):\n",
    "        self.df_normalised = self.df / self.df.iloc[1]\n",
    "\n",
    "    def plot(self, labels, grid_on, norm):\n",
    "        if norm == False:\n",
    "            self.labels = labels\n",
    "            self.grid_on = grid_on\n",
    "\n",
    "            fig, ax = plt.subplots(figsize=(14, 8))\n",
    "            for col, label in zip(\n",
    "                self.df, self.labels\n",
    "            ):  # for drawing multiple labels/legends\n",
    "                ax.plot(self.df_normalised[col], label=label)\n",
    "            ax.grid(grid_on)\n",
    "            ax.legend()\n",
    "            plt.show()\n",
    "        else:\n",
    "            self.label = labels\n",
    "            self.grid_on = grid_on\n",
    "\n",
    "            fig, ax = plt.subplots(figsize=(14, 8))\n",
    "            for col, label in zip(self.df_normalised, self.label):\n",
    "                ax.plot(self.df_normalised[col], label=label)\n",
    "            ax.legend()\n",
    "            ax.grid(grid_on)\n",
    "            plt.show()\n",
    "\n",
    "    def twin_plot(\n",
    "        self, lhs, rhs, labels, grid_on, ax_rhs_inverse, lhs_color, rhs_color\n",
    "    ):\n",
    "        self.lhs = lhs\n",
    "        self.rhs = rhs\n",
    "        self.labels = labels\n",
    "        self.grid_on = grid_on\n",
    "        self.ax_rhs_inverse = ax_rhs_inverse\n",
    "        self.lhs_color = lhs_color\n",
    "        self.rhs_color = rhs_color\n",
    "\n",
    "        fig, ax = plt.subplots(figsize=(14, 8))\n",
    "        ax.plot(self.df[self.lhs].dropna(), label=labels[0], color=self.lhs_color)\n",
    "        ax.legend(loc=3)\n",
    "        ax_RHS = ax.twinx()  # share the same x-axis\n",
    "        ax_RHS.plot(self.df[self.rhs].dropna(), label=labels[1], color=self.rhs_color)\n",
    "        ax_RHS.legend(loc=0)\n",
    "        if ax_rhs_inverse == True:\n",
    "            ax_RHS.invert_yaxis()\n",
    "        ax.grid(grid_on)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d81ea287-60b4-4f28-a47a-c7afbfdc39ca",
   "metadata": {},
   "source": [
    "###  <font face=\"gotham\" color=\"purple\"> Stock Index Plot</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "85b091f2-d775-4091-9de1-c9f664a195bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "start = dt.datetime(2015, 1, 1)\n",
    "end = dt.datetime(2021, 7, 1)\n",
    "fred_stock = Data(start=start, end=end, database=\"fred\")\n",
    "fred_stock.retrieve([\"NASDAQCOM\", \"SP500\", \"DJIA\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "41b43d01-d95b-4d74-9b71-8c6c09609ba6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NASDAQCOM</th>\n",
       "      <th>SP500</th>\n",
       "      <th>DJIA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>4726.81</td>\n",
       "      <td>2058.20</td>\n",
       "      <td>17832.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>4652.57</td>\n",
       "      <td>2020.58</td>\n",
       "      <td>17501.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>4592.74</td>\n",
       "      <td>2002.61</td>\n",
       "      <td>17371.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>4650.47</td>\n",
       "      <td>2025.90</td>\n",
       "      <td>17584.52</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            NASDAQCOM    SP500      DJIA\n",
       "DATE                                    \n",
       "2015-01-01        NaN      NaN       NaN\n",
       "2015-01-02    4726.81  2058.20  17832.99\n",
       "2015-01-05    4652.57  2020.58  17501.65\n",
       "2015-01-06    4592.74  2002.61  17371.64\n",
       "2015-01-07    4650.47  2025.90  17584.52"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fred_stock.df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4370bed8-c0f9-4f71-8878-17d4db4ea093",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NASDAQCOM</th>\n",
       "      <th>SP500</th>\n",
       "      <th>DJIA</th>\n",
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       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <th>2015-01-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>0.984294</td>\n",
       "      <td>0.981722</td>\n",
       "      <td>0.981420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>0.971636</td>\n",
       "      <td>0.972991</td>\n",
       "      <td>0.974129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>0.983850</td>\n",
       "      <td>0.984307</td>\n",
       "      <td>0.986067</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "            NASDAQCOM     SP500      DJIA\n",
       "DATE                                     \n",
       "2015-01-01        NaN       NaN       NaN\n",
       "2015-01-02   1.000000  1.000000  1.000000\n",
       "2015-01-05   0.984294  0.981722  0.981420\n",
       "2015-01-06   0.971636  0.972991  0.974129\n",
       "2015-01-07   0.983850  0.984307  0.986067"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fred_stock.normalise()\n",
    "fred_stock.df_normalised.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cb3fb0e0-e183-4d87-b685-f8611824f518",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fred_stock.plot(labels=[\"NASDAQ\", \"S&P500\", \"Dow Jones\"], grid_on=True, norm=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0ee775b-9c19-4bac-bfc2-01d1e5edaa73",
   "metadata": {},
   "source": [
    "###  <font face=\"gotham\" color=\"purple\"> Exchange Rate Plot</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8dc3fd37-acc3-4bd8-84ab-b72fd555920a",
   "metadata": {},
   "outputs": [],
   "source": [
    "start = dt.datetime(2015, 1, 1)\n",
    "end = dt.datetime(2021, 7, 1)\n",
    "fx = Data(start=start, end=end, database=\"fred\")\n",
    "fx.retrieve([\"DEXCHUS\", \"DEXJPUS\", \"DEXUSEU\"])  # 'USD/CNY','USD/JPY','EUR/USD'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "31489367-bb6d-46d6-8757-8368cd379ad9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fx.normalise()\n",
    "fx.plot(labels=[\"USD/CNY\", \"USD/JPY\", \"EUR/USD\"], grid_on=True, norm=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6250008-b3bb-4611-b997-840165a303f6",
   "metadata": {},
   "source": [
    "###  <font face=\"gotham\" color=\"purple\"> Twin Axes Plot</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9b7a1aea-2e73-4abe-842f-b5d4cbd777ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = dt.datetime(1952, 1, 1)\n",
    "end = dt.datetime.today()\n",
    "debt = Data(start=start, end=end, database=\"fred\")\n",
    "debt.retrieve([\"FYFSGDA188S\", \"NCBCMDPMVCE\"])\n",
    "debt.twin_plot(\n",
    "    lhs=\"FYFSGDA188S\",\n",
    "    rhs=\"NCBCMDPMVCE\",\n",
    "    labels=[\"Federal Surplus or Deficit to GDP\", \"Corp Debt to Equity (RHS)\"],\n",
    "    grid_on=True,\n",
    "    ax_rhs_inverse=True,\n",
    "    lhs_color=\"r\",\n",
    "    rhs_color=\"g\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fad86e7c-ed35-4cbb-b04e-373d47240a31",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_237616/629911982.py:4: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing `errors` and catch exceptions explicitly instead\n",
      "  wb.download(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas_datareader import wb\n",
    "\n",
    "govt_debt = (\n",
    "    wb.download(\n",
    "        indicator=\"GC.DOD.TOTL.GD.ZS\", country=[\"US\", \"AU\"], start=2005, end=2016\n",
    "    )\n",
    "    .stack()\n",
    "    .unstack(0)\n",
    ")\n",
    "ind = govt_debt.index.droplevel(-1)\n",
    "govt_debt.index = ind\n",
    "ax = govt_debt.plot(lw=2)\n",
    "ax.set_xlabel(\"year\", fontsize=12)\n",
    "plt.title(\"Government Debt to GDP (%)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e915236b-00ba-4fe0-a6d3-07a7d91d448e",
   "metadata": {},
   "outputs": [
    {
     "ename": "RemoteDataError",
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id=\"wrapper\">\\n\\t\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\t\\n\\n\\n<header class=\"ecl-site-header ecl-site-header--has-menu\" data-ecl-auto-init=\"SiteHeader\">\\n    <script type=\"application/json\">\\n        {   \\n            \"utility\": \"globan\",\\n            \"theme\": \"dark\", \\n            \"logo\": true,\\n            \"link\": true,\\n            \"lang\": \"en\",\\n            \"mode\": false,\\n            \"zindex\" : 40\\n        }\\n    </script>\\n    <div class=\"ecl-site-header__background\">\\n        <div class=\"ecl-site-header__header\">\\n            <div class=\"ecl-site-header__container ecl-container\">\\n                <div class=\"ecl-site-header__top\" data-ecl-site-header-top>\\n                    <a href=\"https://ec.europa.eu/eurostat/web/main/home\" class=\"ecl-link ecl-link--standalone ecl-site-header__logo-link \" aria-label=\"Home (Eurostat)\">\\n                    <picture class=\"ecl-picture ecl-site-header__picture\" title=\"Home (Eurostat)\">\\n                        <source srcset=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/header/estat-logo-horizontal.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000\" media=\"(min-width: 996px)\">\\n                        <img class=\"ecl-site-header__logo-image\" src=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/header/estat-logo-horizontal.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000\" alt=\"Home (Eurostat)\" />\\n                    </picture>\\n                    </a>\\n                    <div class=\"ecl-site-header__action\">\\n                            <div class=\"ecl-site-header__login-container\">\\n                                <a class=\"ecl-button ecl-button--tertiary ecl-site-header__login-toggle\" href=\"https://ec.europa.eu/eurostat/c/portal/login?p_l_id=11616291\" data-ecl-login-toggle>\\n                                    <svg class=\"ecl-icon ecl-icon--s ecl-site-header__icon\" focusable=\"false\" aria-hidden=\"false\" role=\"img\"><title>Log in</title><use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#log-in\"></use>\\n                                    </svg>Log in</a>\\n                            </div>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\t<script type=\"application/json\">\\n    {\\n        \"service\": \"etrans\",\\n        \"languages\": {\\n            \"exclude\": [\\n                \"fr\",\"de\",\"en\"\\n            ]\\n        },\\n        \"renderAs\": {\\n            \"icon\": false,\\n            \"button\": false,\\n            \"link\": false\\n        },\\n        \"exclude\": \".ecl-site-header__language-link-code, .ecl-site-header__language-link-label\",\\n        \"dynamic\": true\\n    }\\n</script>\\n<div class=\"ecl-site-header__language\">\\n    <a class=\"ecl-button ecl-button--tertiary ecl-site-header__language-selector\" href=\"#\" data-ecl-language-selector role=\"button\" aria-label=\"Select your language\" aria-controls=\"language-list-overlay\">\\n        <span class=\"ecl-site-header__language-icon\">\\n            <svg class=\"ecl-icon ecl-icon--s ecl-site-header__icon\" focusable=\"false\" aria-hidden=\"false\" role=\"img\">\\n                <title>English</title>\\n                <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#global\"></use>\\n                </svg>\\n        </span>English</a>\\n    <div class=\"ecl-site-header__language-container\" id=\"language-list-overlay\" hidden data-ecl-language-list-overlay aria-labelledby=\"ecl-site-header__language-title\" role=\"dialog\">\\n        <div class=\"ecl-site-header__language-header\">\\n            <div class=\"ecl-site-header__language-title\" id=\"ecl-site-header__language-title\">\\nSelect your language            </div>\\n            <button class=\"ecl-button ecl-button--tertiary ecl-site-header__language-close ecl-button--icon-only\" type=\"submit\" data-ecl-language-list-close>\\n                <span class=\"ecl-button__container\">\\n                    <span class=\"ecl-button__label\" data-ecl-label=\"true\">\\nClose                    </span>\\n                    <svg class=\"ecl-icon ecl-icon--s ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#close-filled\"></use>\\n                    </svg>\\n                </span>\\n            </button>\\n        </div>\\n        <div class=\"ecl-site-header__language-content\">\\n            <div class=\"ecl-site-header__language-category ecl-site-header__language-category--3-col\" data-ecl-language-list-eu>\\n                <div class=\"ecl-site-header__language-category-title\">\\nHuman translation                </div>\\n                <ul class=\"ecl-site-header__language-list\">\\n                        <li class=\"ecl-site-header__language-item\">\\n<a href=\"/eurostat/c/portal/update_language?p_l_id=11616291&amp;redirect=%2Feurostat%2FSDMX%2Fdiss-web%2Frest%2Fdatastructure%2FESTAT%2FDSD_tran_sf_railac&amp;languageId=de_DE\" class=\"ecl-link ecl-link--standalone ecl-site-header__language-link  \" lang=\"de-DE\" hreflang=\"de-DE\" >                            <span class=\"ecl-site-header__language-link-code\">de</span>\\n                            <span class=\"ecl-site-header__language-link-label\">Deutsch</span>\\n</a>                        </li>\\n                        <li class=\"ecl-site-header__language-item\">\\n<a href=\"/eurostat/SDMX/diss-web/rest/datastructure/ESTAT/DSD_tran_sf_railac\" class=\"ecl-link ecl-link--standalone ecl-site-header__language-link ecl-site-header__language-link--active \" lang=\"en-GB\" hreflang=\"en-GB\" >                            <span class=\"ecl-site-header__language-link-code\">en</span>\\n                            <span class=\"ecl-site-header__language-link-label\">English</span>\\n</a>                        </li>\\n                        <li class=\"ecl-site-header__language-item\">\\n<a href=\"/eurostat/c/portal/update_language?p_l_id=11616291&amp;redirect=%2Feurostat%2FSDMX%2Fdiss-web%2Frest%2Fdatastructure%2FESTAT%2FDSD_tran_sf_railac&amp;languageId=fr_FR\" class=\"ecl-link ecl-link--standalone ecl-site-header__language-link  \" lang=\"fr-FR\" hreflang=\"fr-FR\" >                            <span class=\"ecl-site-header__language-link-code\">fr</span>\\n                            <span class=\"ecl-site-header__language-link-label\">fran\\xc3\\xa7ais</span>\\n</a>                        </li>\\n                </ul>\\n            </div>\\n            <div class=\"ecl-site-header__language-category ecl-site-header__language-category--4-col\" data-ecl-language-list-non-eu>\\n                <div class=\"ecl-site-header__language-category-title\">\\nMachine translation                </div>\\n                <ul class=\"ecl-site-header__language-list\">\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"bg\" hreflang=\"bg\" data-wt-etrans-lang=\"bg\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">bg</span>\\n                            <span class=\"ecl-site-header__language-link-label\">\\xd0\\xb1\\xd1\\x8a\\xd0\\xbb\\xd0\\xb3\\xd0\\xb0\\xd1\\x80\\xd1\\x81\\xd0\\xba\\xd0\\xb8</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"es\" hreflang=\"es\" data-wt-etrans-lang=\"es\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">es</span>\\n                            <span class=\"ecl-site-header__language-link-label\">espa\\xc3\\xb1ol</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"cs\" hreflang=\"cs\" data-wt-etrans-lang=\"cs\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">cs</span>\\n                            <span class=\"ecl-site-header__language-link-label\">\\xc4\\x8de\\xc5\\xa1tina</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"da\" hreflang=\"da\" data-wt-etrans-lang=\"da\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">da</span>\\n                            <span class=\"ecl-site-header__language-link-label\">dansk</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"et\" hreflang=\"et\" data-wt-etrans-lang=\"et\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">et</span>\\n                            <span class=\"ecl-site-header__language-link-label\">eesti</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"el\" hreflang=\"el\" data-wt-etrans-lang=\"el\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">el</span>\\n                            <span class=\"ecl-site-header__language-link-label\">\\xce\\xb5\\xce\\xbb\\xce\\xbb\\xce\\xb7\\xce\\xbd\\xce\\xb9\\xce\\xba\\xce\\xac</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"ga\" hreflang=\"ga\" data-wt-etrans-lang=\"ga\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">ga</span>\\n                            <span class=\"ecl-site-header__language-link-label\">Gaeilge</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"hr\" hreflang=\"hr\" data-wt-etrans-lang=\"hr\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">hr</span>\\n                            <span class=\"ecl-site-header__language-link-label\">hrvatski</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"it\" hreflang=\"it\" data-wt-etrans-lang=\"it\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">it</span>\\n                            <span class=\"ecl-site-header__language-link-label\">italiano</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"lv\" hreflang=\"lv\" data-wt-etrans-lang=\"lv\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">lv</span>\\n                            <span class=\"ecl-site-header__language-link-label\">latvie\\xc5\\xa1u</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"lt\" hreflang=\"lt\" data-wt-etrans-lang=\"lt\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">lt</span>\\n                            <span class=\"ecl-site-header__language-link-label\">lietuvi\\xc5\\xb3</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"hu\" hreflang=\"hu\" data-wt-etrans-lang=\"hu\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">hu</span>\\n                            <span class=\"ecl-site-header__language-link-label\">magyar</span>\\n                        </a>\\n                        </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"mt\" hreflang=\"mt\" data-wt-etrans-lang=\"mt\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">mt</span>\\n                            <span class=\"ecl-site-header__language-link-label\">Malti</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"nl\" hreflang=\"nl\" data-wt-etrans-lang=\"nl\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">nl</span>\\n                            <span class=\"ecl-site-header__language-link-label\">Nederlands</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"pl\" hreflang=\"pl\" data-wt-etrans-lang=\"pl\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">pl</span>\\n                            <span class=\"ecl-site-header__language-link-label\">polski</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"pt\" hreflang=\"pt\" data-wt-etrans-lang=\"pt\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">pt</span>\\n                            <span class=\"ecl-site-header__language-link-label\">portugu\\xc3\\xaas</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"ru\" hreflang=\"ru\" data-wt-etrans-lang=\"ru\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">ru</span>\\n                            <span class=\"ecl-site-header__language-link-label\">p\\xd1\\x83\\xd1\\x81\\xd1\\x81\\xd0\\xba\\xd0\\xb8\\xd0\\xb9</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"ro\" hreflang=\"ro\" data-wt-etrans-lang=\"ro\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">ro</span>\\n                            <span class=\"ecl-site-header__language-link-label\">rom\\xc3\\xa2n\\xc4\\x83</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"sk\" hreflang=\"sk\" data-wt-etrans-lang=\"sk\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">sk</span>\\n                            <span class=\"ecl-site-header__language-link-label\">sloven\\xc4\\x8dina</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"sl\" hreflang=\"sl\" data-wt-etrans-lang=\"sl\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">sl</span>\\n                            <span class=\"ecl-site-header__language-link-label\">sloven\\xc5\\xa1\\xc4\\x8dina</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"fi\" hreflang=\"fi\" data-wt-etrans-lang=\"fi\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">fi</span>\\n                            <span class=\"ecl-site-header__language-link-label\">suomi</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"sv\" hreflang=\"sv\" data-wt-etrans-lang=\"sv\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">sv</span>\\n                            <span class=\"ecl-site-header__language-link-label\">svenska</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"uk\" hreflang=\"uk\" data-wt-etrans-lang=\"uk\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">uk</span>\\n                            <span class=\"ecl-site-header__language-link-label\">\\xd0\\xa3\\xd0\\xba\\xd1\\x80\\xd0\\xb0\\xd1\\x97\\xd0\\xbd\\xd1\\x81\\xd1\\x8c\\xd0\\xba\\xd0\\xb0</span>\\n                        </a>\\n                    </li>\\n                </ul>\\n            </div>\\n        </div>\\n    </div>\\n</div>\\n                        <div class=\"ecl-site-header__search-container\" role=\"search\">\\n                            <a class=\"ecl-button ecl-button--tertiary ecl-site-header__search-toggle\" href=\"#\" data-ecl-search-toggle=\"true\" aria-controls=\"search-form-id\" aria-expanded=\"false\">\\n                                <svg class=\"ecl-icon ecl-icon--s ecl-site-header__icon\" focusable=\"false\" aria-hidden=\"false\" role=\"img\">\\n                                    <title>Search</title>\\n                                    <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#search\"></use>\\n                                </svg>\\nSearch                            </a>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\t<div class=\"portlet-boundary portlet-boundary_estatsearchportlet_WAR_estatsearchportlet_  portlet-static portlet-static-end portlet-barebone  \" id=\"p_p_id_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\">\\n\\t\\t<span id=\"p_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J\"></span>\\n\\n\\n\\n\\n\\t\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\t\\t\\n<section class=\"portlet\" id=\"portlet_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J\">\\n\\n        <div class=\"portlet-content\">\\n\\n                <div class=\"autofit-float autofit-row portlet-header\">\\n\\n                        <div class=\"autofit-col autofit-col-end\">\\n                                <div class=\"autofit-section\">\\n                                </div>\\n                        </div>\\n                </div>\\n\\n                \\n\\t\\t\\t<div class=\" portlet-content-container\">\\n\\t\\t\\t\\t\\n\\n\\n\\t<div class=\"portlet-body\">\\n\\n\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\n\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\n\\n\\t\\n\\n\\t\\t\\r\\n<link rel=\"stylesheet\" href=\"/eurostat/o/estat-search-portlet/resources/js/jquery-ui.min.css?browserId=other&amp;themeId=estatthemeecl_WAR_estatthemeecl&amp;minifierType=css&amp;languageId=en_GB&amp;t=1716541036000\" />\\r\\n<script type=\"text/javascript\" src=\"/eurostat/o/estat-search-portlet/resources/js/jquery-ui.min.js?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1716541036000\"></script>\\r\\n<script type=\"text/javascript\" src=\"/eurostat/o/estat-search-portlet/resources/js/bootstrap-dropdown.js?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1716541036000\"></script>\\r\\n\\r\\n    \\t<form method=\"get\" action=\"https://ec.europa.eu/eurostat/web/main/search/-/search/estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J?p_auth=xFSE1KOk\" class=\"form-search-portlet _estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_ ecl-search-form ecl-site-header__search\" name=\"search-form-id-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\" role=\"search\" data-ecl-search-form  id=\"search-form-id-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\">\\r\\n\\t\\t\\r\\n\\t\\t\\t<script type=\"text/javascript\">\\r\\n\\t\\t\\twindow.addEventListener(\"DOMContentLoaded\", function(){\\r\\n\\t\\t\\t\\tif(screen.width < 576){\\r\\n\\t\\t\\t\\t\\t$(\".portlet-boundary_estatsearchportlet_WAR_estatsearchportlet_ .form-label-group > label, .ecl-site-header__search .form-label-group > label\").text(\"Enter search term\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t});\\r\\n\\t\\t\\t</script>\\r\\n\\t\\t\\t\\r\\n\\t\\t<h2 class=\"sr-only\">Search by keyword</h2>\\r\\n    \\t\\r\\n\\t\\t\\t\\t<div class=\"form-label-group ecl-form-group\">\\r\\n\\t\\t\\t\\t\\t<input id=\"input-search-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\" class=\"main-search-field search-query _estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_ ecl-text-input ecl-text-input--m ecl-search-form__text-input\" name=\"text\"  type=\"text\" placeholder=\"Enter search term\" value=\"\">\\r\\n\\t\\t\\t\\t\\t<label for=\"input-search-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\">Enter search term</label>\\r\\n\\t\\t\\t\\t</div>\\r\\n\\t\\t\\t\\t<button class=\"ecl-button ecl-button--primary ecl-search-form__button _estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\" type=\"submit\" aria-label=\"Search\">\\r\\n\\t\\t\\t\\t\\t<span class=\"ecl-button__container\">\\r\\n\\t\\t\\t\\t\\t\\t<svg class=\"ecl-icon ecl-icon--xs ecl-button__icon ecl-button__icon--after\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon><use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#search\"></use></svg>\\r\\n\\t\\t\\t\\t\\t\\t<span class=\"ecl-button__label\" data-ecl-label=\"true\">Search</span>\\r\\n\\t\\t\\t\\t\\t</span>\\r\\n\\t\\t\\t\\t</button>\\r\\n\\t\\t\\r\\n\\t\\t\\t<script type=\"text/javascript\">\\r\\n\\t\\t\\t\\t\\tjQuery.extend(jQuery.expr[\\':\\'], {\\r\\n\\t\\t\\t\\t\\t\\tfocusable: function(el, index, selector){\\r\\n\\t\\t\\t\\t\\t\\treturn $(el).is(\\'a, button, :input, [tabindex]\\');\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t});\\r\\n\\t\\t\\t\\t\\tshowFilters = \\'Expand filters\\';\\r\\n\\t\\t\\t\\t\\thideFilters = \\'Collapse filters\\';\\r\\n\\t\\t\\t\\t\\tnavStatusOpen = screen.width >= 768 ? true : false;\\r\\n\\t\\t\\t\\t\\t/* Set the width of the sidebar to 250px and the left margin of the page content to 250px */\\r\\n\\t\\t\\t\\t\\tfunction openNav() {\\r\\n\\t\\t\\t\\t\\t  if(screen.width >= 768){\\r\\n\\t\\t\\t\\t\\t\\t$(\"#facets\").css(\"width\", \"30%\");\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container\").css(\"width\", \"69.9%\");\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container\").css(\"padding-left\", \"3%\");\\r\\n\\t\\t\\t\\t\\t  } else {\\r\\n\\t\\t\\t\\t\\t\\t$(\"#facets\").css(\"width\", \"100%\");\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container\").css(\"width\", \"0%\");\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container .search-results .result\").css(\"box-shadow\", \"none\");\\r\\n\\t\\t\\t\\t\\t\\t$(\\'#closebtn-xs\\').css(\"display\", \"inline-block\");\\r\\n\\t\\t\\t\\t\\t\\t$(\\'#icon-filter-xs\\').css(\"display\", \"inline-block\");\\r\\n\\t\\t\\t\\t\\t  \\t$(\"#search-results-container\").css(\"max-height\", \"0\");\\r\\n\\t\\t\\t\\t\\t  }\\r\\n\\t\\t\\t\\t\\t  $(\"#facets\").css(\"max-height\", \"inherit\");\\r\\n\\t\\t\\t\\t\\t  navStatusOpen = true;\\r\\n\\t\\t\\t\\t\\t  $(\\'#openbtn\\').css(\"display\", \"none\");\\r\\n\\t\\t\\t\\t\\t  $(\\'#closebtn\\').css(\"display\", \"inline-block\");\\r\\n\\t\\t\\t\\t\\t  $(\".fa.fa-filter\").prop(\\'title\\', \"Collapse filters\");\\r\\n\\t\\t\\t\\t\\t  $(\\'#facets\\').find(\\':focusable\\').removeAttr(\\'tabindex\\');\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t\\t\\t\\t/* Set the width of the sidebar to 0 and the left margin of the page content to 0 */\\r\\n\\t\\t\\t\\t\\tfunction closeNav() {\\r\\n\\t\\t\\t\\t\\t  if(screen.width >= 768){\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container\").css(\"padding-left\", \"0\");\\r\\n\\t\\t\\t\\t\\t  }  \\r\\n\\t\\t\\t\\t\\t  $(\"#search-results-container .search-results .result\").css(\"box-shadow\", \"0 0 3px #999\"); \\t\\t\\t\\t\\t\\t  \\r\\n\\t\\t\\t\\t\\t  $(\"#search-results-container\").css(\"max-height\", \"inherit\");\\r\\n\\t\\t\\t\\t\\t  $(\"#search-results-container\").css(\"width\", \"99.8%\");\\r\\n\\t\\t\\t\\t\\t  $(\"#facets\").css(\"width\", \"0%\"); \\r\\n\\t\\t\\t\\t\\t  navStatusOpen = false;\\r\\n\\t\\t\\t\\t\\t  $(\\'#openbtn\\').css(\"display\", \"inline-block\");\\r\\n\\t\\t\\t\\t\\t  $(\\'#closebtn\\').css(\"display\", \"none\");\\r\\n\\t\\t\\t\\t\\t  $(\"#facets\").css(\"max-height\", \"0px\");\\r\\n\\t\\t\\t\\t\\t  $(\".fa.fa-filter\").prop(\\'title\\', \"Expand filters\");\\r\\n\\t\\t\\t\\t\\t  $(\\'#facets\\').find(\\':focusable\\').attr(\\'tabindex\\', -1);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t/* open or close depending on the status of the sidebar */\\r\\n\\t\\t\\t\\t\\tfunction manageNav() {\\r\\n\\t\\t\\t\\t\\t\\tif(navStatusOpen){\\r\\n\\t\\t\\t\\t\\t\\t\\tcloseNav();\\r\\n\\t\\t\\t\\t\\t\\t\\t$(\".icon-filter\").prop(\\'title\\', showFilters);\\r\\n\\t\\t\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\t\\t\\topenNav();\\r\\n\\t\\t\\t\\t\\t\\t\\t$(\".icon-filter\").prop(\\'title\\', hideFilters);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tvar collections = new Map();\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'dataset\\', \\'Datasets\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_CATALO\\', \\'Leaflets and other brochures\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_DATFOC\\', \\'Data in focus\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_EURNEW\\', \\'News articles\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_MAN\\', \\'Manuals and guidelines\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_PREREL\\', \\'Euro indicators\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STATBK\\', \\'Statistical books/Pocketbooks\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_METWP\\', \\'Statistical working papers\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STAFOC\\', \\'Statistics in Focus\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_DEDSEC\\', \\'Thematic sections\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STATRP\\', \\'Statistical reports\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_DIGPUB\\', \\'Interactive publications\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_FLAGPUB\\', \\'Flagship publications\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_KEYFIG\\', \\'Key Figures\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STATEXP\\', \\'Statistics Explained articles\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_GLOSSARY\\', \\'Glossary\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STAT4BEG\\', \\'Statistics 4 beginners\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_PODCAST\\', \\'Podcasts\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tcollections.set(\\'tree folder\\', \\'Data tree folder\\');\\r\\n\\t\\t\\t\\t\\tcollections.set(\\'collection\\', \\'Products\\');\\r\\n\\t\\t\\t\\t\\tcollections.set(\\'theme\\', \\'Statistical themes\\');\\r\\n\\t\\t\\t\\t\\t$[ \"ui\" ][ \"autocomplete\" ].prototype[\"_renderItem\"] = function( ul, item) {\\r\\n\\t\\t\\t\\t\\t\\treturn $(\"<li></li>\")\\r\\n\\t\\t\\t\\t\\t\\t\\t.css(\"display\", \"flex\")\\r\\n\\t\\t\\t\\t\\t\\t\\t.css(\"flex\", \"auto\")\\r\\n\\t\\t\\t\\t\\t\\t\\t//.css(\"background-color\", liColor)\\r\\n\\t\\t\\t\\t\\t\\t\\t.data(\"item.autocomplete\", item )\\r\\n\\t\\t\\t\\t\\t\\t\\t.append( $( \"<div></div>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.css(\"display\", \"flex\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.css(\"flex\", \"auto\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.append( $( \"<div></div>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t//.css(\"display\", \"flex\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"flex\", \"auto\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"flex-direction\", \"column\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"display\", \"block\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"width\", \"1px\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"padding-right\", \"20px\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"max-height\", \"none\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.append( $( \"<a></a>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.html(item.suggest != null ? item.suggest.highlightPhrase : item.label ) \\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t)\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t)\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.append( $( \"<div></div>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"display\", \"flex\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"flex\", \"0 1 auto\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"align-self\", \"center\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.append( $( \"<span></span>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t//.css(\"font-size\", \"1.3rem\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"font-family\", \"arial, sans-serif\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"font-weight\", \"normal\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"color\", \"#0e47cb\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t//.css(\"font-style\", \"italic\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"text-transform\", \"uppercase\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.html(collections.get(item.type) != null ? collections.get(item.type) : item.type) \\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t) \\r\\n\\t\\t\\t\\t\\t\\t\\t\\t)\\r\\n\\t\\t\\t\\t\\t\\t\\t)\\r\\n\\t\\t\\t\\t\\t\\t\\t.appendTo( ul );\\r\\n\\t\\t\\t\\t\\t};\\r\\n\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").autocomplete({\\r\\n\\t\\t\\t\\t\\t\\tminLength: 3,\\r\\n\\t\\t\\t\\t\\t\\tsource: function(request, response) {\\r\\n\\t\\t\\t\\t\\t\\t\\t$.getJSON(\"https://ec.europa.eu/eurostat/web/main/home?p_p_id=estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J&p_p_lifecycle=2&p_p_state=normal&p_p_mode=view&p_p_cacheability=cacheLevelPage&_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_action=autocomplete\", { text: request.term }, response);\\r\\n\\t\\t\\t\\t\\t\\t},\\t\\r\\n\\t\\t\\t\\t\\t\\topen: function() {\\r\\n\\t\\t\\t\\t\\t\\t\\t$(this).autocomplete(\"widget\").css(\"width\", $(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").outerWidth(true) + $(\".ecl-search-form__button._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").outerWidth(true));\\r\\n\\t\\t\\t\\t\\t\\t},  \\r\\n\\t\\t\\t\\t\\t\\tfocus: function(event, ui) {\\r\\n\\t\\t\\t\\t\\t\\t\\tevent.preventDefault();\\r\\n\\t\\t\\t\\t\\t\\t},\\r\\n\\t\\t\\t\\t\\t\\tselect: function( event, ui ) {\\r\\n\\t\\t\\t\\t\\t\\t\\tvar url = new URL(document.getElementById(\\'search-form-id-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\\').action);\\r\\n\\t\\t\\t\\t\\t\\t\\tif(ui.item.type==\\'collection\\'){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_collection\\', ui.item.code);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(\"\");\\r\\n\\t\\t\\t\\t\\t\\t\\t} else if(ui.item.type==\\'theme\\'){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_theme\\', ui.item.code);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(\"\");\\r\\n\\t\\t\\t\\t\\t\\t\\t} else if(ui.item.type==\\'tree folder\\'){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_folderTitle\\', ui.item.suggest.highlightPhrase.replace(/(<([^>]+)>)/ig,\"\"));\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_collection\\', \\'dataset\\');\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(\"\");\\r\\n\\t\\t\\t\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_text\\', ui.item.suggest.highlightPhrase.replace(/(<([^>]+)>)/ig,\"\"));\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(ui.item.suggest.highlightPhrase.replace(/(<([^>]+)>)/ig,\"\"));\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t//$(\"input[name*=\\'collection\\']\").val(ui.item.type);\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t\\tevent.preventDefault();\\r\\n\\t\\t\\t\\t\\t\\t\\twindow.location.href=url.href;\\r\\n\\t\\t\\t\\t\\t\\t},\\r\\n\\t\\t\\t\\t\\t\\tchange: function( event, ui ) {\\r\\n\\t\\t\\t\\t\\t\\t\\t  if(ui.item != null){\\r\\n\\t\\t\\t\\t\\t\\t\\t  \\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(ui.item.suggest.highlightPhrase.replace(/(<([^>]+)>)/ig,\"\"));\\r\\n\\t\\t\\t\\t\\t\\t\\t  }\\r\\n\\t\\t\\t\\t\\t\\t\\t  event.preventDefault();\\r\\n\\t\\t\\t\\t\\t\\t},\\r\\n\\t\\t\\t\\t\\t\\t/*response: function(event, ui) {\\r\\n\\t\\t\\t\\t\\t        if (!ui.content.length) {\\r\\n\\t\\t\\t\\t\\t            var noResult = { value:\"\",label:\"no_results_found\" };\\r\\n\\t\\t\\t\\t\\t            ui.content.push(noResult);\\r\\n\\t\\t\\t\\t\\t        }\\r\\n\\t\\t\\t\\t\\t    }*/\\r\\n\\t\\t\\t\\t\\t});\\r\\n\\t\\t\\t</script>\\r\\n\\t\\t</form>\\r\\n        \\n\\n\\t\\n\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\n\\t\\n\\t\\n\\n\\n\\t</div>\\n\\n\\t\\t\\t</div>\\n\\t\\t\\n        </div>\\n</section>\\n\\t\\n\\n\\t\\t\\n\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\t</div>\\n\\n\\n\\n\\n\\n\\n                        </div>\\n                    </div>\\n                </div>\\n            </div>\\n        </div>\\n    </div>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\t<div class=\"portlet-boundary portlet-boundary_com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_  portlet-static portlet-static-end portlet-barebone portlet-navigation \" id=\"p_p_id_com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_INSTANCE_ecl_navigation_menu_instance_\">\\n\\t\\t<span id=\"p_com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_INSTANCE_ecl_navigation_menu_instance\"></span>\\n\\n\\n\\n\\n\\t\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\t\\t\\n<section class=\"portlet\" id=\"portlet_com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_INSTANCE_ecl_navigation_menu_instance\">\\n\\n        <div class=\"portlet-content\">\\n\\n                <div class=\"autofit-float autofit-row portlet-header\">\\n\\n                        <div class=\"autofit-col autofit-col-end\">\\n                                <div class=\"autofit-section\">\\n                                </div>\\n                        </div>\\n                </div>\\n\\n                \\n\\t\\t\\t<div class=\" portlet-content-container\">\\n\\t\\t\\t\\t\\n\\n\\n\\t<div class=\"portlet-body\">\\n\\n\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\n\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\n\\n\\t\\n\\n\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\t\\n\\t\\t<div class=\"ecl-site-header__banner\">\\n    <div class=\"ecl-container\"></div>\\n</div>\\n<nav class=\"ecl-menu\" data-ecl-menu data-ecl-menu-max-lines=\"2\" data-ecl-auto-init=\"Menu\" data-ecl-menu-label-open=\"Menu\" data-ecl-menu-label-close=\"Close\" aria-expanded=\"false\" role=\"navigation\">\\n    <div class=\"ecl-menu__overlay\"></div>\\n    <div class=\"ecl-container ecl-menu__container\">\\n        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--icon ecl-button ecl-button--tertiary ecl-menu__open ecl-link--icon-only\" data-ecl-menu-open>\\n            <svg class=\"ecl-icon ecl-icon--m ecl-link__icon\" focusable=\"false\" aria-hidden=\"true\">\\n                <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#hamburger\"></use>\\n            </svg>\\n            <svg class=\"ecl-icon ecl-icon--s ecl-link__icon\" focusable=\"false\" aria-hidden=\"true\">\\n                <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#close-filled\"></use>\\n            </svg>\\n            <span class=\"ecl-link__label\">Menu</span>\\n        </a>\\n        <section class=\"ecl-menu__inner\" data-ecl-menu-inner role=\"application\" aria-label=\"Menu\">\\n            <header class=\"ecl-menu__inner-header\">\\n                <button class=\"ecl-button ecl-button--ghost ecl-menu__close\" type=\"submit\" data-ecl-menu-close>\\n                    <span class=\"ecl-button__container\">\\n                        <span class=\"ecl-button__label\" data-ecl-label=\"true\">Close</span>\\n                        <svg class=\"ecl-icon ecl-icon--s ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                            <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#close-filled\"></use>\\n                        </svg>\\n                    </span>\\n                </button>\\n                <div class=\"ecl-menu__title\">Menu</div>\\n                <button class=\"ecl-button ecl-button--ghost ecl-menu__back\" type=\"submit\" data-ecl-menu-back>\\n                    <span class=\"ecl-button__container\">\\n                        <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-270 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                            <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                        </svg>\\n                        <span class=\"ecl-button__label\" data-ecl-label=\"true\">Back</span>\\n                    </span>\\n                </button>\\n            </header>\\n            <button class=\"ecl-button ecl-button--ghost ecl-menu__item ecl-menu__items-previous ecl-button--icon-only\" type=\"button\" data-ecl-menu-items-previous tabindex=\"-1\">\\n                <span class=\"ecl-button__container\">\\n                    <svg class=\"ecl-icon ecl-icon--s ecl-icon--rotate-270 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                    </svg>\\n                    <span class=\"ecl-button__label\" data-ecl-label=\"true\">Previous items</span>\\n                </span>\\n            </button>\\n            <button class=\"ecl-button ecl-button--ghost ecl-menu__item ecl-menu__items-next ecl-button--icon-only\" type=\"button\" data-ecl-menu-items-next tabindex=\"-1\">\\n                <span class=\"ecl-button__container\">\\n                    <svg class=\"ecl-icon ecl-icon--s ecl-icon--rotate-90 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                    </svg>\\n                    <span class=\"ecl-button__label\" data-ecl-label=\"true\">Next items</span>\\n                </span>\\n            </button>\\n            <ul class=\"ecl-menu__list\" data-ecl-menu-list>\\n                        <li class=\"ecl-menu__item  menu-indent1\" data-ecl-menu-item>\\n                            <a href=\"/eurostat/web/main/home\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>\\n                                Home\\n                            </a>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col3\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/data\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>Data</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col1\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Explore data</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/data/database\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Database\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/data/statistical-themes\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Statistical themes\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/data/stats-finder-a-z\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Stats finder A-Z\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--5>\\n                <a href=\"/eurostat/web/experimental-statistics\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Experimental statistics\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--6>\\n                <a href=\"/eurostat/web/main/data/data-visualisations\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Data visualisations\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--7>\\n                <a href=\"/eurostat/web/education-corner/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Education corner\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col2\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Advanced tools and services</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/data/web-services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Web services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/data/bulkdownload\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Bulk download\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--4>\\n                <a href=\"/eurostat/web/gisco/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    GISCO:Geographical Information and maps\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--5>\\n                <a href=\"/eurostat/web/microdata/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Microdata\\n                </a>\\n            </li>\\n    </ul>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--6\\n                                        start--6\\n                                        end--7>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--7\\n                                        start--6\\n                                        end--7>\\n                                    </li>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col3\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Quality and European statistics</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--2>\\n                <a href=\"/eurostat/web/quality/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Quality\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--3>\\n                <a href=\"/eurostat/web/metadata/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Metadata\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/data/data-validation\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Data validation\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/data/data-revision-policy\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Data revision policy\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--6>\\n                <a href=\"/eurostat/web/sdmx-infospace/welcome\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    SDMX InfoSpace\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--7>\\n                <a href=\"/eurostat/cros/\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Research and methodology (CROS)\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--8>\\n                <a href=\"/eurostat/web/main/data/link-to-evaluation\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Evaluation\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col0\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/news\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>News</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--1>\\n                <a href=\"/eurostat/web/main/news/news-articles\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    News articles\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--2>\\n                <a href=\"/eurostat/web/main/news/euro-indicators\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Euro indicators\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--3>\\n                <a href=\"/eurostat/web/main/news/podcasts\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Podcasts\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--4>\\n                <a href=\"/eurostat/web/main/news/events\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Events\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--5>\\n                <a href=\"/eurostat/web/main/news/release-calendar\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Release calendar\\n                </a>\\n            </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col2\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/publications\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>Publications</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col1\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Collections</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/publications/flagship-publications\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Flagship publications\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/publications/interactive-publications\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Interactive publications\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/publications/key-figures\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Key figures\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--5>\\n                <a href=\"/eurostat/statistics-explained/index.php?title=Online_publications\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Online reads\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--6>\\n                <a href=\"/eurostat/web/main/publications/manuals-and-guidelines\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Manuals and guidelines\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--7>\\n                <a href=\"/eurostat/web/main/publications/statistical-working-papers\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Statistical working papers\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--8>\\n                <a href=\"/eurostat/web/main/publications/statistical-reports\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Statistical reports\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--9>\\n                <a href=\"/eurostat/web/main/publications/leaflets\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Leaflets\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col2\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\"></span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--2>\\n                <a href=\"/eurostat/statistics-explained/index.php?title=Main_Page\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Statistics Explained\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/publications/link-to-release-calendar\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Release calendar\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/publications/style-guides\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Style guides\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/publications/order-publication\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Order a publication\\n                </a>\\n            </li>\\n    </ul>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--6\\n                                        start--6\\n                                        end--9>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--7\\n                                        start--6\\n                                        end--9>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--8\\n                                        start--6\\n                                        end--9>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--9\\n                                        start--6\\n                                        end--9>\\n                                    </li>\\n                    </ul>\\n                </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--full\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/about-us\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>About us</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col1\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Our organisation</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/about-us/who-we-are\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Who we are\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/about-us/who-does-what\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Who does what\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/about-us/how-to-find-us\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    How to find us\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/about-us/history\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    History\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col2\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Our policies</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/about-us/policies/co-ordination-role\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Co-ordination role\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/about-us/policies/communication-dissemination\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Communication and dissemination\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/about-us/policies/link-to-quality\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Quality\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/data-revision-policy\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Data revision policy\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--6>\\n                <a href=\"/eurostat/cros/\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Research and methodology (CROS)\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--7>\\n                <a href=\"/eurostat/web/main/about-us/policies/copyright\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Copyright notice and free re-use of data\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--8>\\n                <a href=\"/eurostat/web/main/about-us/policies/evaluation\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Evaluation\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col3\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Our partners</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--2>\\n                <a href=\"/eurostat/web/european-statistical-system/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    European Statistical System (ESS)\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--3>\\n                <a href=\"/eurostat/web/international-cooperation/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    International cooperation\\n                </a>\\n            </li>\\n    </ul>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--4\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--5\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--6\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--7\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--8\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col4\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Working with us</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/about-us/job-opportunities\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Job opportunities\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--3>\\n                <a href=\"/eurostat/web/calls-for-tenders/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Calls for tenders\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/about-us/grants\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Grants\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/about-us/public-consultations\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Public consultations\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--6>\\n                <a href=\"/eurostat/web/main/about-us/link-to-events\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Events\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col0\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/contact-us\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>Contact us</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--1>\\n                <a href=\"/eurostat/web/main/contact-us/user-support\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    User support\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--2>\\n                <a href=\"/eurostat/web/main/contact-us/fact-checking-services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Fact-checking services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--3>\\n                <a href=\"/eurostat/web/main/contact-us/press-services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Press services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--4>\\n                <a href=\"/eurostat/web/main/contact-us/institutional-services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Institutional services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--5>\\n                <a href=\"/eurostat/web/main/contact-us/visit-us\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Visit us\\n                </a>\\n            </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col0\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/help\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>Help</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--1>\\n                <a href=\"/eurostat/web/main/help/website-guide\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Website guide\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--2>\\n                <a href=\"/eurostat/web/main/help/products-and-tools\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Products and tools\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--3>\\n                <a href=\"/eurostat/web/main/help/services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--4>\\n                <a href=\"/eurostat/web/main/alert\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Alert\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--5>\\n                <a href=\"/eurostat/web/main/help/faq\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Frequently asked questions\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--6>\\n                <a href=\"/eurostat/web/main/help/accessibility\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Accessibility\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--7>\\n                <a href=\"/eurostat/web/main/help/maintenance-information\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Maintenance information\\n                </a>\\n            </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n            </ul>\\n        </section>\\n    </div>\\n</nav>\\n\\n\\n\\t\\n\\t\\n\\t\\n\\n\\n\\t\\n\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\n\\t\\n\\t\\n\\n\\n\\t</div>\\n\\n\\t\\t\\t</div>\\n\\t\\t\\n        </div>\\n</section>\\n\\t\\n\\n\\t\\t\\n\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\t</div>\\n\\n\\n\\n\\n\\n\\n</header>\\n        <section id=\"content\" class=\"ecl-u-pb-xl\">\\n\\n\\n    \\n                <div class=\"container\">\\n            \\n                    \\n                    \\n\\n\\n<section class=\"portlet\" id=\"portlet_status\">\\n\\n        <div class=\"portlet-content\">\\n\\n                <div class=\"autofit-float autofit-row portlet-header\">\\n                        <div class=\"autofit-col autofit-col-expand\">\\n                                <h2 class=\"portlet-title-text\">Status 404</h2>\\n                        </div>\\n\\n                        <div class=\"autofit-col autofit-col-end\">\\n                                <div class=\"autofit-section\">\\n                                </div>\\n                        </div>\\n                </div>\\n\\n                \\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\t\\t<h3 class=\"alert alert-danger\">\\n\\t\\t\\tNot Found\\n\\t\\t</h3>\\n\\n\\t\\tThe requested resource could not be found.\\n\\n\\t\\t<br /><br />\\n\\n\\t\\t<code class=\"lfr-url-error\">https://ec.europa.eu/eurostat/SDMX/diss-web/rest/datastructure/ESTAT/DSD_tran_sf_railac</code>\\n\\t\\n\\t\\n\\n<div class=\"separator\"><!-- --></div>\\n\\n<a href=\"javascript:history.go(-1);\">&laquo; Back</a>\\n\\n\\n        </div>\\n</section>            \\n                </div>\\n        </section>\\n        <script type=\"text/javascript\">\\n            function textNodesUnder(e) { for (var t, n = [], r = document.createTreeWalker(e, NodeFilter.SHOW_TEXT, null, !1); t = r.nextNode();)if(t.parentElement && t.parentElement.tagName != \"STYLE\" && t.parentElement.tagName != \"SCRIPT\") n.push(t); return n } textNodesUnder(document.querySelector(\"#content\")).forEach(e => e.textContent = e.textContent.replace(/(\\\\d+)(\\\\s+)(\\\\d+)/g, \"$1\\xc2\\xa0$3\"));\\n        </script>\\n<aside id=\"estat-feedback-form\" class=\"ecl-u-pv-m\">\\n    <div class=\"ecl-container\">\\n        <!-- alerts -->\\n        <div id=\"ff-alerts\" hidden>\\n            <div 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</li>\\n                        <li class=\"ecl-site-footer__list-item\">\\n                            <a href=\"https://op.europa.eu/en/home\" class=\"ecl-link ecl-link--standalone ecl-site-footer__link\">\\nPublications Office of the European Union                            </a>\\n                        </li>\\n                        <li class=\"ecl-site-footer__list-item\">\\n                            <a href=\"https://european-union.europa.eu/institutions-law-budget/institutions-and-bodies/institutions-and-bodies-profiles_en?f%5B0%5D=oe_organisation_eu_type%3Ahttp%3A//publications.europa.eu/resource/authority/corporate-body-classification/AGENCY_DEC&amp;f%5B1%5D=oe_organisation_eu_type%3Ahttp%3A//publications.europa.eu/resource/authority/corporate-body-classification/AGENCY_EXEC&amp;f%5B2%5D=oe_organisation_eu_type%3Ahttp%3A//publications.europa.eu/resource/authority/corporate-body-classification/EU_JU\" class=\"ecl-link ecl-link--standalone ecl-site-footer__link\">\\nAgencies                            </a>\\n                        </li>\\n                    </ul>\\n                </div>\\n                <div class=\"ecl-site-footer__section ecl-site-footer__section--mobile\">\\n                    <h2 class=\"ecl-site-footer__title ecl-site-footer__title--separator\">\\n                        EU institutions\\n                    </h2>\\n                    <ul class=\"ecl-site-footer__list\">\\n                        <li class=\"ecl-site-footer__list-item\"> Search for \\n                            <a href=\"https://european-union.europa.eu/institutions-law-budget/institutions-and-bodies/institutions-and-bodies-profiles_en?f%5B0%5D=oe_organisation_eu_type%3Ahttp%3A//publications.europa.eu/resource/authority/corporate-body-classification/AGENCY_DEC&amp;f%5B1%5D=oe_organisation_eu_type%3Ahttp%3A//publications.europa.eu/resource/authority/corporate-body-classification/AGENCY_EXEC&amp;f%5B2%5D=oe_organisation_eu_type%3Ahttp%3A//publications.europa.eu/resource/authority/corporate-body-classification/EU_JU\" class=\"ecl-link ecl-link--standalone ecl-site-footer__link\">\\n                                EU institutions\\n                            </a>\\n                        </li>\\n                    </ul>\\n                </div>\\n            </div>\\n        </div>\\n    </div>\\n</footer><!-- there should not be exception, the attempt is there just for safety purpose -->\\n    <!-- relative URL -->\\n        <div id=\"popupSurvey\">     <script>\\n        const 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survey</h2>\\n                </div>\\n\\n                <div class=\"modal-body ecl-u-type-paragraph\"><p>Please take a few minutes and reply to our anonymous survey.&nbsp;</p>\\n\\n<p>This survey helps us to better understand why and how you use European statistics and how you rate our data and products.<br />\\n&nbsp;</p>\\n                    <div class=\"modal-footer\">\\n                        <div class=\"ecl-checkbox\">\\n                            <input class=\"ecl-checkbox__input\" id=\"inputDeclineSurvey\" name=\"inputDeclineSurveyName\" type=\"checkbox\" value=\"stopped\" />\\n                            <label class=\"ecl-checkbox__label\" for=\"inputDeclineSurvey\">\\n                                <span class=\"ecl-checkbox__box\">\\n                                    <svg aria-hidden=\"true\" class=\"ecl-icon ecl-icon--m ecl-link__icon ecl-checkbox__icon\" focusable=\"false\">\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#check\"></use>\\n                                    </svg>\\n                                </span>\\n                                <span class=\"ecl-checkbox__text\">Don\\'t show this message again</span>\\n                            </label>\\n                        </div>\\n\\n                        <div class=\"footer-actions\">\\n                            <button class=\"ecl-button ecl-button--secondary\" onclick=\"stopSurvey()\" type=\"button\">\\nNo thanks                            </button>\\n                            <button class=\"ecl-button ecl-button--primary ecl-u-ml-xs\" onclick=\"gotoSurvey(\\'https://ec.europa.eu/eusurvey/runner/EStatUSS2024\\')\" type=\"button\">\\n                                <span class=\"ecl-button__container\">\\n                                    <span class=\"ecl-button__label\" data-ecl-label=\"true\">\\nParticipate                                    </span>\\n                                    <svg aria-hidden=\"true\" class=\"ecl-icon ecl-icon--s ecl-icon--rotate-90 ecl-link__icon\" focusable=\"false\">\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                        </div>\\n                    </div>\\n                </div>\\n            </div>\\n        </div>\\n    </div>\\n </div>\\n    </div>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\t\\n\\n\\n\\n\\n\\n\\t\\n\\n\\n\\n\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n<script type=\"text/javascript\">\\n// <![CDATA[\\n\\n\\t\\n\\t\\t\\n\\n\\t\\t\\t\\n\\n\\t\\t\\t\\n\\t\\t\\n\\t\\n\\n\\tLiferay.BrowserSelectors.run();\\n\\n// ]]>\\n</script>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n<script type=\"text/javascript\">\\n\\t// <![CDATA[\\n\\n\\t\\t\\n\\n\\t\\tLiferay.currentURL = \\'\\\\x2feurostat\\\\x2fSDMX\\\\x2fdiss-web\\\\x2frest\\\\x2fdatastructure\\\\x2fESTAT\\\\x2fDSD_tran_sf_railac\\';\\n\\t\\tLiferay.currentURLEncoded = \\'\\\\x252Feurostat\\\\x252FSDMX\\\\x252Fdiss-web\\\\x252Frest\\\\x252Fdatastructure\\\\x252FESTAT\\\\x252FDSD_tran_sf_railac\\';\\n\\n\\t// ]]>\\n</script>\\n\\n\\n\\n\\t\\n\\n\\t\\n\\n\\t<script type=\"text/javascript\">\\n\\t\\t// <![CDATA[\\n\\t\\t\\t\\n\\t\\t\\t\\t\\n\\n\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t// ]]>\\n\\t</script>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\t\\n\\n\\t\\t\\n\\n\\t\\t\\n\\t\\n\\n\\n<script type=\"text/javascript\">\\n// <![CDATA[\\n(function() {var $ = AUI.$;var _ = AUI._;\\n\\tvar onDestroyPortlet = function() {\\n\\t\\tLiferay.detach(\\'messagePosted\\', onMessagePosted);\\n\\t\\tLiferay.detach(\\'destroyPortlet\\', onDestroyPortlet);\\n\\t};\\n\\n\\tLiferay.on(\\'destroyPortlet\\', onDestroyPortlet);\\n\\n\\tvar onMessagePosted = function(event) {\\n\\t\\tif (window.Analytics) {\\n\\t\\t\\tAnalytics.send(\\'posted\\', \\'Comment\\', {\\n\\t\\t\\t\\tclassName: event.className,\\n\\t\\t\\t\\tclassPK: event.classPK,\\n\\t\\t\\t\\tcommentId: 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0,\\n\\t\\t\\tisStatic: \\'end\\',\\n\\t\\t\\tnamespacedId: \\'p_p_id_com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_INSTANCE_ecl_navigation_menu_instance_\\',\\n\\t\\t\\tportletId: \\'com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_INSTANCE_ecl_navigation_menu_instance\\',\\n\\t\\t\\trefreshURL: \\'\\\\x2feurostat\\\\x2fc\\\\x2fportal\\\\x2frender_portlet\\\\x3fp_l_id\\\\x3d11616291\\\\x26p_p_id\\\\x3dcom_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_INSTANCE_ecl_navigation_menu_instance\\\\x26p_p_lifecycle\\\\x3d0\\\\x26p_t_lifecycle\\\\x3d0\\\\x26p_p_state\\\\x3dnormal\\\\x26p_p_mode\\\\x3dview\\\\x26p_p_col_id\\\\x3dnull\\\\x26p_p_col_pos\\\\x3dnull\\\\x26p_p_col_count\\\\x3dnull\\\\x26p_p_static\\\\x3d1\\\\x26p_p_isolated\\\\x3d1\\\\x26currentURL\\\\x3d\\\\x252Feurostat\\\\x252FSDMX\\\\x252Fdiss-web\\\\x252Frest\\\\x252Fdatastructure\\\\x252FESTAT\\\\x252FDSD_tran_sf_railac\\',\\n\\t\\t\\trefreshURLData: {}\\n\\t\\t}\\n\\t);\\n\\n\\t\\n\\t\\tLiferay.Portlet.register(\\'estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J\\');\\n\\t\\n\\n\\tLiferay.Portlet.onLoad(\\n\\t\\t{\\n\\t\\t\\tcanEditTitle: false,\\n\\t\\t\\tcolumnPos: 0,\\n\\t\\t\\tisStatic: \\'end\\',\\n\\t\\t\\tnamespacedId: \\'p_p_id_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\\',\\n\\t\\t\\tportletId: \\'estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J\\',\\n\\t\\t\\trefreshURL: 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\\'.portlet\\'), \\'open\\');\\n\\t\\t}\\n\\t);\\n\\n\\tvar focusOutPortletHandler = dom.delegate(\\n\\t\\tdocument,\\n\\t\\t\\'focusout\\',\\n\\t\\t\\'.portlet\\',\\n\\t\\tfunction(event) {\\n\\t\\t\\tdom.removeClasses(dom.closest(event.delegateTarget, \\'.portlet\\'), \\'open\\');\\n\\t\\t}\\n\\t);\\n})();})();\\n});AUI().use(\\'liferay-menu\\', \\'liferay-notice\\', \\'aui-base\\', \\'liferay-session\\', \\'liferay-poller\\', function(A) {(function() {var $ = AUI.$;var _ = AUI._;\\n\\tif (A.UA.mobile) {\\n\\t\\tLiferay.Util.addInputCancel();\\n\\t}\\n})();(function() {var $ = AUI.$;var _ = AUI._;\\n\\tnew Liferay.Menu();\\n\\n\\tvar liferayNotices = Liferay.Data.notices;\\n\\n\\tfor (var i = 1; i < liferayNotices.length; i++) {\\n\\t\\tnew Liferay.Notice(liferayNotices[i]);\\n\\t}\\n\\n\\t\\n})();(function() {var $ = AUI.$;var _ = AUI._;\\n\\t\\t\\tLiferay.Session = new Liferay.SessionBase(\\n\\t\\t\\t\\t{\\n\\t\\t\\t\\t\\tautoExtend: true,\\n\\t\\t\\t\\t\\tredirectOnExpire: false,\\n\\t\\t\\t\\t\\tredirectUrl: \\'https\\\\x3a\\\\x2f\\\\x2fec\\\\x2eeuropa\\\\x2eeu\\\\x2feurostat\\\\x2fweb\\\\x2fmain\\\\x2fhome\\',\\n\\t\\t\\t\\t\\tsessionLength: 900,\\n\\t\\t\\t\\t\\tsessionTimeoutOffset: 70,\\n\\t\\t\\t\\t\\twarningLength: 0\\n\\t\\t\\t\\t}\\n\\t\\t\\t);\\n\\n\\t\\t\\t\\n\\t\\t})();});\\n// ]]>\\n</script>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n<script src=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/js/main.js?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000\" type=\"text/javascript\"></script>\\n\\n<!-- Piwik: force Piwik to consider links to document library as downloads and add results count in case of search -->\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n<script type=\"text/javascript\">\\n\\tvar links = document.getElementsByTagName(\"a\"); \\n\\tfor (var i = 0; i < links.length; i++) { \\n    \\tvar href = links[i].href;\\n    \\tif (href != null && 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     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRemoteDataError\u001b[0m                           Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[11], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m eurostat \u001b[38;5;241m=\u001b[39m Data(database\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124meurostat\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m \u001b[43meurostat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mretrieve\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtran_sf_railac\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "Cell \u001b[0;32mIn[2], line 16\u001b[0m, in \u001b[0;36mData.retrieve\u001b[0;34m(self, data_id)\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdf \u001b[38;5;241m=\u001b[39m pdr\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mDataReader(data_id, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdatabase)\n\u001b[1;32m     15\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdatabase \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124meurostat\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m---> 16\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdf \u001b[38;5;241m=\u001b[39m \u001b[43mpdr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mDataReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata_id\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdatabase\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/weijie-chen-n8m5GJNI-py3.10/lib/python3.10/site-packages/pandas/util/_decorators.py:213\u001b[0m, in \u001b[0;36mdeprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    211\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[1;32m    212\u001b[0m     kwargs[new_arg_name] \u001b[38;5;241m=\u001b[39m new_arg_value\n\u001b[0;32m--> 213\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/weijie-chen-n8m5GJNI-py3.10/lib/python3.10/site-packages/pandas_datareader/data.py:485\u001b[0m, in \u001b[0;36mDataReader\u001b[0;34m(name, data_source, start, end, retry_count, pause, session, api_key)\u001b[0m\n\u001b[1;32m    469\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m OECDReader(\n\u001b[1;32m    470\u001b[0m         symbols\u001b[38;5;241m=\u001b[39mname,\n\u001b[1;32m    471\u001b[0m         start\u001b[38;5;241m=\u001b[39mstart,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    475\u001b[0m         session\u001b[38;5;241m=\u001b[39msession,\n\u001b[1;32m    476\u001b[0m     )\u001b[38;5;241m.\u001b[39mread()\n\u001b[1;32m    477\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m data_source \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124meurostat\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m    478\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mEurostatReader\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    479\u001b[0m \u001b[43m        \u001b[49m\u001b[43msymbols\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    480\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstart\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstart\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    481\u001b[0m \u001b[43m        \u001b[49m\u001b[43mend\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mend\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    482\u001b[0m \u001b[43m        \u001b[49m\u001b[43mretry_count\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mretry_count\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    483\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpause\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpause\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    484\u001b[0m \u001b[43m        \u001b[49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msession\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m--> 485\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    486\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m data_source \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnasdaq\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m    487\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msymbols\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/weijie-chen-n8m5GJNI-py3.10/lib/python3.10/site-packages/pandas_datareader/base.py:101\u001b[0m, in \u001b[0;36m_BaseReader.read\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     99\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Read data from connector\"\"\"\u001b[39;00m\n\u001b[1;32m    100\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 101\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_read_one_data\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    102\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m    103\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclose()\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/weijie-chen-n8m5GJNI-py3.10/lib/python3.10/site-packages/pandas_datareader/eurostat.py:33\u001b[0m, in \u001b[0;36mEurostatReader._read_one_data\u001b[0;34m(self, url, params)\u001b[0m\n\u001b[1;32m     32\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_read_one_data\u001b[39m(\u001b[38;5;28mself\u001b[39m, url, params):\n\u001b[0;32m---> 33\u001b[0m     resp_dsd \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_response\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdsd_url\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     34\u001b[0m     dsd \u001b[38;5;241m=\u001b[39m _read_sdmx_dsd(resp_dsd\u001b[38;5;241m.\u001b[39mcontent)\n\u001b[1;32m     36\u001b[0m     resp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_response(url)\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/weijie-chen-n8m5GJNI-py3.10/lib/python3.10/site-packages/pandas_datareader/base.py:181\u001b[0m, in \u001b[0;36m_BaseReader._get_response\u001b[0;34m(self, url, params, headers)\u001b[0m\n\u001b[1;32m    178\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m last_response_text:\n\u001b[1;32m    179\u001b[0m     msg \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mResponse Text:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{0}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(last_response_text)\n\u001b[0;32m--> 181\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m RemoteDataError(msg)\n",
      "\u001b[0;31mRemoteDataError\u001b[0m: Unable to read URL: http://ec.europa.eu/eurostat/SDMX/diss-web/rest/datastructure/ESTAT/DSD_tran_sf_railac\nResponse Text:\nb'\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t<!DOCTYPE html>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n<html dir=\"ltr\" lang=\"en-GB\">\\n\\n<head>\\n    <title>Status 404 - Eurostat</title>\\n    <meta content=\"initial-scale=1.0, width=device-width\" name=\"viewport\" />\\n    <link rel=\"stylesheet\" href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/css/ecl-eu.css?browserId=other&amp;themeId=estatthemeecl_WAR_estatthemeecl&amp;minifierType=none&amp;languageId=en_GB&amp;t=1717484464000\">\\n    <link rel=\"stylesheet\" href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/css/optional/ecl-eu-utilities.css?browserId=other&amp;themeId=estatthemeecl_WAR_estatthemeecl&amp;minifierType=none&amp;languageId=en_GB&amp;t=1717484464000\">\\n    <link rel=\"stylesheet\" media=\"print\" href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/css/ecl-eu-print.css?browserId=other&amp;themeId=estatthemeecl_WAR_estatthemeecl&amp;minifierType=none&amp;languageId=en_GB&amp;t=1717484464000\">\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n<meta content=\"text/html; charset=UTF-8\" http-equiv=\"content-type\" />\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n<meta name=\"google-site-verification\" content=\"6XK2M_NqFEhF79UhdF43-Zv2t58zbBUp_CYAAKDHjgo\" />\\n<meta name=\"google-site-verification\" content=\"in2pBF1QfAtURduPbpP5i-jI0MycWywIlnAImhgFALc\" />\\n<script type=\"text/javascript\" src=\"/eurostat/ruxitagentjs_ICANVfgqrux_10281231207105659.js\" data-dtconfig=\"app=e63eebabdf39f376|cuc=m097nmfl|agentId=48648e3271f255b9|mel=100000|featureHash=ICANVfgqrux|dpvc=1|ssv=4|lastModification=1717755444432|tp=500,50,0|rdnt=1|uxrgce=1|bp=3|agentUri=/eurostat/ruxitagentjs_ICANVfgqrux_10281231207105659.js|reportUrl=/eurostat/rb_39a3e95b-5423-482c-879b-99ef235dffeb|rid=RID_-366161469|rpid=-1993326717|domain=europa.eu/eurostat\"></script><script type=\"application/ld+json\">\\n    {\\n\\t\\t\"@context\": \"https://schema.org\",\\n\\t\\t\"@type\": \"GovernmentOrganization\",\\n\\t\\t\"@id\": \"https://ec.europa.eu/eurostat/\",\\n\\t\\t\"name\": \"Eurostat\",\\n\\t\\t\"description\": \"Eurostat is the statistical office of the European Union. 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\"globan\",\\n            \"theme\": \"dark\", \\n            \"logo\": true,\\n            \"link\": true,\\n            \"lang\": \"en\",\\n            \"mode\": false,\\n            \"zindex\" : 40\\n        }\\n    </script>\\n    <div class=\"ecl-site-header__background\">\\n        <div class=\"ecl-site-header__header\">\\n            <div class=\"ecl-site-header__container ecl-container\">\\n                <div class=\"ecl-site-header__top\" data-ecl-site-header-top>\\n                    <a href=\"https://ec.europa.eu/eurostat/web/main/home\" class=\"ecl-link ecl-link--standalone ecl-site-header__logo-link \" aria-label=\"Home (Eurostat)\">\\n                    <picture class=\"ecl-picture ecl-site-header__picture\" title=\"Home (Eurostat)\">\\n                        <source srcset=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/header/estat-logo-horizontal.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000\" media=\"(min-width: 996px)\">\\n                        <img class=\"ecl-site-header__logo-image\" src=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/header/estat-logo-horizontal.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000\" alt=\"Home (Eurostat)\" />\\n                    </picture>\\n                    </a>\\n                    <div class=\"ecl-site-header__action\">\\n                            <div class=\"ecl-site-header__login-container\">\\n                                <a class=\"ecl-button ecl-button--tertiary ecl-site-header__login-toggle\" href=\"https://ec.europa.eu/eurostat/c/portal/login?p_l_id=11616291\" data-ecl-login-toggle>\\n                                    <svg class=\"ecl-icon ecl-icon--s ecl-site-header__icon\" focusable=\"false\" aria-hidden=\"false\" role=\"img\"><title>Log in</title><use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#log-in\"></use>\\n                                    </svg>Log in</a>\\n                            </div>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\t<script type=\"application/json\">\\n    {\\n        \"service\": \"etrans\",\\n        \"languages\": {\\n            \"exclude\": [\\n                \"fr\",\"de\",\"en\"\\n            ]\\n        },\\n        \"renderAs\": {\\n            \"icon\": false,\\n            \"button\": false,\\n            \"link\": false\\n        },\\n        \"exclude\": \".ecl-site-header__language-link-code, .ecl-site-header__language-link-label\",\\n        \"dynamic\": true\\n    }\\n</script>\\n<div class=\"ecl-site-header__language\">\\n    <a class=\"ecl-button ecl-button--tertiary ecl-site-header__language-selector\" href=\"#\" data-ecl-language-selector role=\"button\" aria-label=\"Select your language\" aria-controls=\"language-list-overlay\">\\n        <span class=\"ecl-site-header__language-icon\">\\n            <svg class=\"ecl-icon ecl-icon--s ecl-site-header__icon\" focusable=\"false\" aria-hidden=\"false\" role=\"img\">\\n                <title>English</title>\\n                <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#global\"></use>\\n                </svg>\\n        </span>English</a>\\n    <div class=\"ecl-site-header__language-container\" id=\"language-list-overlay\" hidden data-ecl-language-list-overlay aria-labelledby=\"ecl-site-header__language-title\" role=\"dialog\">\\n        <div class=\"ecl-site-header__language-header\">\\n            <div class=\"ecl-site-header__language-title\" id=\"ecl-site-header__language-title\">\\nSelect your language            </div>\\n            <button class=\"ecl-button ecl-button--tertiary ecl-site-header__language-close ecl-button--icon-only\" type=\"submit\" data-ecl-language-list-close>\\n                <span class=\"ecl-button__container\">\\n                    <span class=\"ecl-button__label\" data-ecl-label=\"true\">\\nClose                    </span>\\n                    <svg class=\"ecl-icon ecl-icon--s ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#close-filled\"></use>\\n                    </svg>\\n                </span>\\n            </button>\\n        </div>\\n        <div class=\"ecl-site-header__language-content\">\\n            <div class=\"ecl-site-header__language-category ecl-site-header__language-category--3-col\" data-ecl-language-list-eu>\\n                <div class=\"ecl-site-header__language-category-title\">\\nHuman translation                </div>\\n                <ul class=\"ecl-site-header__language-list\">\\n                        <li class=\"ecl-site-header__language-item\">\\n<a href=\"/eurostat/c/portal/update_language?p_l_id=11616291&amp;redirect=%2Feurostat%2FSDMX%2Fdiss-web%2Frest%2Fdatastructure%2FESTAT%2FDSD_tran_sf_railac&amp;languageId=de_DE\" class=\"ecl-link ecl-link--standalone ecl-site-header__language-link  \" lang=\"de-DE\" hreflang=\"de-DE\" >                            <span class=\"ecl-site-header__language-link-code\">de</span>\\n                            <span class=\"ecl-site-header__language-link-label\">Deutsch</span>\\n</a>                        </li>\\n                        <li class=\"ecl-site-header__language-item\">\\n<a href=\"/eurostat/SDMX/diss-web/rest/datastructure/ESTAT/DSD_tran_sf_railac\" class=\"ecl-link ecl-link--standalone ecl-site-header__language-link ecl-site-header__language-link--active \" lang=\"en-GB\" hreflang=\"en-GB\" >                            <span class=\"ecl-site-header__language-link-code\">en</span>\\n                            <span class=\"ecl-site-header__language-link-label\">English</span>\\n</a>                        </li>\\n                        <li class=\"ecl-site-header__language-item\">\\n<a href=\"/eurostat/c/portal/update_language?p_l_id=11616291&amp;redirect=%2Feurostat%2FSDMX%2Fdiss-web%2Frest%2Fdatastructure%2FESTAT%2FDSD_tran_sf_railac&amp;languageId=fr_FR\" class=\"ecl-link ecl-link--standalone ecl-site-header__language-link  \" lang=\"fr-FR\" hreflang=\"fr-FR\" >                            <span class=\"ecl-site-header__language-link-code\">fr</span>\\n                            <span class=\"ecl-site-header__language-link-label\">fran\\xc3\\xa7ais</span>\\n</a>                        </li>\\n                </ul>\\n            </div>\\n            <div class=\"ecl-site-header__language-category ecl-site-header__language-category--4-col\" data-ecl-language-list-non-eu>\\n                <div class=\"ecl-site-header__language-category-title\">\\nMachine translation                </div>\\n                <ul class=\"ecl-site-header__language-list\">\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"bg\" hreflang=\"bg\" data-wt-etrans-lang=\"bg\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">bg</span>\\n                            <span class=\"ecl-site-header__language-link-label\">\\xd0\\xb1\\xd1\\x8a\\xd0\\xbb\\xd0\\xb3\\xd0\\xb0\\xd1\\x80\\xd1\\x81\\xd0\\xba\\xd0\\xb8</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"es\" hreflang=\"es\" data-wt-etrans-lang=\"es\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">es</span>\\n                            <span class=\"ecl-site-header__language-link-label\">espa\\xc3\\xb1ol</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"cs\" hreflang=\"cs\" data-wt-etrans-lang=\"cs\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">cs</span>\\n                            <span class=\"ecl-site-header__language-link-label\">\\xc4\\x8de\\xc5\\xa1tina</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"da\" hreflang=\"da\" data-wt-etrans-lang=\"da\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">da</span>\\n                            <span class=\"ecl-site-header__language-link-label\">dansk</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"et\" hreflang=\"et\" data-wt-etrans-lang=\"et\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">et</span>\\n                            <span class=\"ecl-site-header__language-link-label\">eesti</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"el\" hreflang=\"el\" data-wt-etrans-lang=\"el\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">el</span>\\n                            <span class=\"ecl-site-header__language-link-label\">\\xce\\xb5\\xce\\xbb\\xce\\xbb\\xce\\xb7\\xce\\xbd\\xce\\xb9\\xce\\xba\\xce\\xac</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"ga\" hreflang=\"ga\" data-wt-etrans-lang=\"ga\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">ga</span>\\n                            <span class=\"ecl-site-header__language-link-label\">Gaeilge</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"hr\" hreflang=\"hr\" data-wt-etrans-lang=\"hr\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">hr</span>\\n                            <span class=\"ecl-site-header__language-link-label\">hrvatski</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"it\" hreflang=\"it\" data-wt-etrans-lang=\"it\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">it</span>\\n                            <span class=\"ecl-site-header__language-link-label\">italiano</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"lv\" hreflang=\"lv\" data-wt-etrans-lang=\"lv\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">lv</span>\\n                            <span class=\"ecl-site-header__language-link-label\">latvie\\xc5\\xa1u</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"lt\" hreflang=\"lt\" data-wt-etrans-lang=\"lt\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">lt</span>\\n                            <span class=\"ecl-site-header__language-link-label\">lietuvi\\xc5\\xb3</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"hu\" hreflang=\"hu\" data-wt-etrans-lang=\"hu\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">hu</span>\\n                            <span class=\"ecl-site-header__language-link-label\">magyar</span>\\n                        </a>\\n                        </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"mt\" hreflang=\"mt\" data-wt-etrans-lang=\"mt\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">mt</span>\\n                            <span class=\"ecl-site-header__language-link-label\">Malti</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"nl\" hreflang=\"nl\" data-wt-etrans-lang=\"nl\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">nl</span>\\n                            <span class=\"ecl-site-header__language-link-label\">Nederlands</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"pl\" hreflang=\"pl\" data-wt-etrans-lang=\"pl\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">pl</span>\\n                            <span class=\"ecl-site-header__language-link-label\">polski</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"pt\" hreflang=\"pt\" data-wt-etrans-lang=\"pt\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">pt</span>\\n                            <span class=\"ecl-site-header__language-link-label\">portugu\\xc3\\xaas</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"ru\" hreflang=\"ru\" data-wt-etrans-lang=\"ru\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">ru</span>\\n                            <span class=\"ecl-site-header__language-link-label\">p\\xd1\\x83\\xd1\\x81\\xd1\\x81\\xd0\\xba\\xd0\\xb8\\xd0\\xb9</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"ro\" hreflang=\"ro\" data-wt-etrans-lang=\"ro\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">ro</span>\\n                            <span class=\"ecl-site-header__language-link-label\">rom\\xc3\\xa2n\\xc4\\x83</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"sk\" hreflang=\"sk\" data-wt-etrans-lang=\"sk\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">sk</span>\\n                            <span class=\"ecl-site-header__language-link-label\">sloven\\xc4\\x8dina</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"sl\" hreflang=\"sl\" data-wt-etrans-lang=\"sl\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">sl</span>\\n                            <span class=\"ecl-site-header__language-link-label\">sloven\\xc5\\xa1\\xc4\\x8dina</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"fi\" hreflang=\"fi\" data-wt-etrans-lang=\"fi\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">fi</span>\\n                            <span class=\"ecl-site-header__language-link-label\">suomi</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"sv\" hreflang=\"sv\" data-wt-etrans-lang=\"sv\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">sv</span>\\n                            <span class=\"ecl-site-header__language-link-label\">svenska</span>\\n                        </a>\\n                    </li>\\n                    <li class=\"ecl-site-header__language-item\">\\n                        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--no-visited ecl-site-header__language-link\" lang=\"uk\" hreflang=\"uk\" data-wt-etrans-lang=\"uk\" rel=\"alternate\">\\n                            <span class=\"ecl-site-header__language-link-code\">uk</span>\\n                            <span class=\"ecl-site-header__language-link-label\">\\xd0\\xa3\\xd0\\xba\\xd1\\x80\\xd0\\xb0\\xd1\\x97\\xd0\\xbd\\xd1\\x81\\xd1\\x8c\\xd0\\xba\\xd0\\xb0</span>\\n                        </a>\\n                    </li>\\n                </ul>\\n            </div>\\n        </div>\\n    </div>\\n</div>\\n                        <div class=\"ecl-site-header__search-container\" role=\"search\">\\n                            <a class=\"ecl-button ecl-button--tertiary ecl-site-header__search-toggle\" href=\"#\" data-ecl-search-toggle=\"true\" aria-controls=\"search-form-id\" aria-expanded=\"false\">\\n                                <svg class=\"ecl-icon ecl-icon--s ecl-site-header__icon\" focusable=\"false\" aria-hidden=\"false\" role=\"img\">\\n                                    <title>Search</title>\\n                                    <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#search\"></use>\\n                                </svg>\\nSearch                            </a>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\t<div class=\"portlet-boundary portlet-boundary_estatsearchportlet_WAR_estatsearchportlet_  portlet-static portlet-static-end portlet-barebone  \" id=\"p_p_id_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\">\\n\\t\\t<span id=\"p_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J\"></span>\\n\\n\\n\\n\\n\\t\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\t\\t\\n<section class=\"portlet\" id=\"portlet_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J\">\\n\\n        <div class=\"portlet-content\">\\n\\n                <div class=\"autofit-float autofit-row portlet-header\">\\n\\n                        <div class=\"autofit-col autofit-col-end\">\\n                                <div class=\"autofit-section\">\\n                                </div>\\n                        </div>\\n                </div>\\n\\n                \\n\\t\\t\\t<div class=\" portlet-content-container\">\\n\\t\\t\\t\\t\\n\\n\\n\\t<div class=\"portlet-body\">\\n\\n\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\n\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\n\\n\\t\\n\\n\\t\\t\\r\\n<link rel=\"stylesheet\" href=\"/eurostat/o/estat-search-portlet/resources/js/jquery-ui.min.css?browserId=other&amp;themeId=estatthemeecl_WAR_estatthemeecl&amp;minifierType=css&amp;languageId=en_GB&amp;t=1716541036000\" />\\r\\n<script type=\"text/javascript\" src=\"/eurostat/o/estat-search-portlet/resources/js/jquery-ui.min.js?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1716541036000\"></script>\\r\\n<script type=\"text/javascript\" src=\"/eurostat/o/estat-search-portlet/resources/js/bootstrap-dropdown.js?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1716541036000\"></script>\\r\\n\\r\\n    \\t<form method=\"get\" action=\"https://ec.europa.eu/eurostat/web/main/search/-/search/estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J?p_auth=xFSE1KOk\" class=\"form-search-portlet _estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_ ecl-search-form ecl-site-header__search\" name=\"search-form-id-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\" role=\"search\" data-ecl-search-form  id=\"search-form-id-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\">\\r\\n\\t\\t\\r\\n\\t\\t\\t<script type=\"text/javascript\">\\r\\n\\t\\t\\twindow.addEventListener(\"DOMContentLoaded\", function(){\\r\\n\\t\\t\\t\\tif(screen.width < 576){\\r\\n\\t\\t\\t\\t\\t$(\".portlet-boundary_estatsearchportlet_WAR_estatsearchportlet_ .form-label-group > label, .ecl-site-header__search .form-label-group > label\").text(\"Enter search term\");\\r\\n\\t\\t\\t\\t}\\r\\n\\t\\t\\t});\\r\\n\\t\\t\\t</script>\\r\\n\\t\\t\\t\\r\\n\\t\\t<h2 class=\"sr-only\">Search by keyword</h2>\\r\\n    \\t\\r\\n\\t\\t\\t\\t<div class=\"form-label-group ecl-form-group\">\\r\\n\\t\\t\\t\\t\\t<input id=\"input-search-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\" class=\"main-search-field search-query _estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_ ecl-text-input ecl-text-input--m ecl-search-form__text-input\" name=\"text\"  type=\"text\" placeholder=\"Enter search term\" value=\"\">\\r\\n\\t\\t\\t\\t\\t<label for=\"input-search-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\">Enter search term</label>\\r\\n\\t\\t\\t\\t</div>\\r\\n\\t\\t\\t\\t<button class=\"ecl-button ecl-button--primary ecl-search-form__button _estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\" type=\"submit\" aria-label=\"Search\">\\r\\n\\t\\t\\t\\t\\t<span class=\"ecl-button__container\">\\r\\n\\t\\t\\t\\t\\t\\t<svg class=\"ecl-icon ecl-icon--xs ecl-button__icon ecl-button__icon--after\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon><use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#search\"></use></svg>\\r\\n\\t\\t\\t\\t\\t\\t<span class=\"ecl-button__label\" data-ecl-label=\"true\">Search</span>\\r\\n\\t\\t\\t\\t\\t</span>\\r\\n\\t\\t\\t\\t</button>\\r\\n\\t\\t\\r\\n\\t\\t\\t<script type=\"text/javascript\">\\r\\n\\t\\t\\t\\t\\tjQuery.extend(jQuery.expr[\\':\\'], {\\r\\n\\t\\t\\t\\t\\t\\tfocusable: function(el, index, selector){\\r\\n\\t\\t\\t\\t\\t\\treturn $(el).is(\\'a, button, :input, [tabindex]\\');\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t});\\r\\n\\t\\t\\t\\t\\tshowFilters = \\'Expand filters\\';\\r\\n\\t\\t\\t\\t\\thideFilters = \\'Collapse filters\\';\\r\\n\\t\\t\\t\\t\\tnavStatusOpen = screen.width >= 768 ? true : false;\\r\\n\\t\\t\\t\\t\\t/* Set the width of the sidebar to 250px and the left margin of the page content to 250px */\\r\\n\\t\\t\\t\\t\\tfunction openNav() {\\r\\n\\t\\t\\t\\t\\t  if(screen.width >= 768){\\r\\n\\t\\t\\t\\t\\t\\t$(\"#facets\").css(\"width\", \"30%\");\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container\").css(\"width\", \"69.9%\");\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container\").css(\"padding-left\", \"3%\");\\r\\n\\t\\t\\t\\t\\t  } else {\\r\\n\\t\\t\\t\\t\\t\\t$(\"#facets\").css(\"width\", \"100%\");\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container\").css(\"width\", \"0%\");\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container .search-results .result\").css(\"box-shadow\", \"none\");\\r\\n\\t\\t\\t\\t\\t\\t$(\\'#closebtn-xs\\').css(\"display\", \"inline-block\");\\r\\n\\t\\t\\t\\t\\t\\t$(\\'#icon-filter-xs\\').css(\"display\", \"inline-block\");\\r\\n\\t\\t\\t\\t\\t  \\t$(\"#search-results-container\").css(\"max-height\", \"0\");\\r\\n\\t\\t\\t\\t\\t  }\\r\\n\\t\\t\\t\\t\\t  $(\"#facets\").css(\"max-height\", \"inherit\");\\r\\n\\t\\t\\t\\t\\t  navStatusOpen = true;\\r\\n\\t\\t\\t\\t\\t  $(\\'#openbtn\\').css(\"display\", \"none\");\\r\\n\\t\\t\\t\\t\\t  $(\\'#closebtn\\').css(\"display\", \"inline-block\");\\r\\n\\t\\t\\t\\t\\t  $(\".fa.fa-filter\").prop(\\'title\\', \"Collapse filters\");\\r\\n\\t\\t\\t\\t\\t  $(\\'#facets\\').find(\\':focusable\\').removeAttr(\\'tabindex\\');\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\r\\n\\t\\t\\t\\t\\t/* Set the width of the sidebar to 0 and the left margin of the page content to 0 */\\r\\n\\t\\t\\t\\t\\tfunction closeNav() {\\r\\n\\t\\t\\t\\t\\t  if(screen.width >= 768){\\r\\n\\t\\t\\t\\t\\t\\t$(\"#search-results-container\").css(\"padding-left\", \"0\");\\r\\n\\t\\t\\t\\t\\t  }  \\r\\n\\t\\t\\t\\t\\t  $(\"#search-results-container .search-results .result\").css(\"box-shadow\", \"0 0 3px #999\"); \\t\\t\\t\\t\\t\\t  \\r\\n\\t\\t\\t\\t\\t  $(\"#search-results-container\").css(\"max-height\", \"inherit\");\\r\\n\\t\\t\\t\\t\\t  $(\"#search-results-container\").css(\"width\", \"99.8%\");\\r\\n\\t\\t\\t\\t\\t  $(\"#facets\").css(\"width\", \"0%\"); \\r\\n\\t\\t\\t\\t\\t  navStatusOpen = false;\\r\\n\\t\\t\\t\\t\\t  $(\\'#openbtn\\').css(\"display\", \"inline-block\");\\r\\n\\t\\t\\t\\t\\t  $(\\'#closebtn\\').css(\"display\", \"none\");\\r\\n\\t\\t\\t\\t\\t  $(\"#facets\").css(\"max-height\", \"0px\");\\r\\n\\t\\t\\t\\t\\t  $(\".fa.fa-filter\").prop(\\'title\\', \"Expand filters\");\\r\\n\\t\\t\\t\\t\\t  $(\\'#facets\\').find(\\':focusable\\').attr(\\'tabindex\\', -1);\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t/* open or close depending on the status of the sidebar */\\r\\n\\t\\t\\t\\t\\tfunction manageNav() {\\r\\n\\t\\t\\t\\t\\t\\tif(navStatusOpen){\\r\\n\\t\\t\\t\\t\\t\\t\\tcloseNav();\\r\\n\\t\\t\\t\\t\\t\\t\\t$(\".icon-filter\").prop(\\'title\\', showFilters);\\r\\n\\t\\t\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\t\\t\\topenNav();\\r\\n\\t\\t\\t\\t\\t\\t\\t$(\".icon-filter\").prop(\\'title\\', hideFilters);\\r\\n\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tvar collections = new Map();\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'dataset\\', \\'Datasets\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_CATALO\\', \\'Leaflets and other brochures\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_DATFOC\\', \\'Data in focus\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_EURNEW\\', \\'News articles\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_MAN\\', \\'Manuals and guidelines\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_PREREL\\', \\'Euro indicators\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STATBK\\', \\'Statistical books/Pocketbooks\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_METWP\\', \\'Statistical working papers\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STAFOC\\', \\'Statistics in Focus\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_DEDSEC\\', \\'Thematic sections\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STATRP\\', \\'Statistical reports\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_DIGPUB\\', \\'Interactive publications\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_FLAGPUB\\', \\'Flagship publications\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_KEYFIG\\', \\'Key Figures\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STATEXP\\', \\'Statistics Explained articles\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_GLOSSARY\\', \\'Glossary\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_STAT4BEG\\', \\'Statistics 4 beginners\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\tcollections.set(\\'CAT_PODCAST\\', \\'Podcasts\\');\\r\\n\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\tcollections.set(\\'tree folder\\', \\'Data tree folder\\');\\r\\n\\t\\t\\t\\t\\tcollections.set(\\'collection\\', \\'Products\\');\\r\\n\\t\\t\\t\\t\\tcollections.set(\\'theme\\', \\'Statistical themes\\');\\r\\n\\t\\t\\t\\t\\t$[ \"ui\" ][ \"autocomplete\" ].prototype[\"_renderItem\"] = function( ul, item) {\\r\\n\\t\\t\\t\\t\\t\\treturn $(\"<li></li>\")\\r\\n\\t\\t\\t\\t\\t\\t\\t.css(\"display\", \"flex\")\\r\\n\\t\\t\\t\\t\\t\\t\\t.css(\"flex\", \"auto\")\\r\\n\\t\\t\\t\\t\\t\\t\\t//.css(\"background-color\", liColor)\\r\\n\\t\\t\\t\\t\\t\\t\\t.data(\"item.autocomplete\", item )\\r\\n\\t\\t\\t\\t\\t\\t\\t.append( $( \"<div></div>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.css(\"display\", \"flex\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.css(\"flex\", \"auto\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.append( $( \"<div></div>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t//.css(\"display\", \"flex\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"flex\", \"auto\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"flex-direction\", \"column\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"display\", \"block\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"width\", \"1px\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"padding-right\", \"20px\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"max-height\", \"none\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.append( $( \"<a></a>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.html(item.suggest != null ? item.suggest.highlightPhrase : item.label ) \\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t)\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t)\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t.append( $( \"<div></div>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"display\", \"flex\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"flex\", \"0 1 auto\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"align-self\", \"center\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t.append( $( \"<span></span>\" )\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t//.css(\"font-size\", \"1.3rem\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"font-family\", \"arial, sans-serif\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"font-weight\", \"normal\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"color\", \"#0e47cb\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t//.css(\"font-style\", \"italic\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.css(\"text-transform\", \"uppercase\")\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t.html(collections.get(item.type) != null ? collections.get(item.type) : item.type) \\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t) \\r\\n\\t\\t\\t\\t\\t\\t\\t\\t)\\r\\n\\t\\t\\t\\t\\t\\t\\t)\\r\\n\\t\\t\\t\\t\\t\\t\\t.appendTo( ul );\\r\\n\\t\\t\\t\\t\\t};\\r\\n\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").autocomplete({\\r\\n\\t\\t\\t\\t\\t\\tminLength: 3,\\r\\n\\t\\t\\t\\t\\t\\tsource: function(request, response) {\\r\\n\\t\\t\\t\\t\\t\\t\\t$.getJSON(\"https://ec.europa.eu/eurostat/web/main/home?p_p_id=estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J&p_p_lifecycle=2&p_p_state=normal&p_p_mode=view&p_p_cacheability=cacheLevelPage&_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_action=autocomplete\", { text: request.term }, response);\\r\\n\\t\\t\\t\\t\\t\\t},\\t\\r\\n\\t\\t\\t\\t\\t\\topen: function() {\\r\\n\\t\\t\\t\\t\\t\\t\\t$(this).autocomplete(\"widget\").css(\"width\", $(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").outerWidth(true) + $(\".ecl-search-form__button._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").outerWidth(true));\\r\\n\\t\\t\\t\\t\\t\\t},  \\r\\n\\t\\t\\t\\t\\t\\tfocus: function(event, ui) {\\r\\n\\t\\t\\t\\t\\t\\t\\tevent.preventDefault();\\r\\n\\t\\t\\t\\t\\t\\t},\\r\\n\\t\\t\\t\\t\\t\\tselect: function( event, ui ) {\\r\\n\\t\\t\\t\\t\\t\\t\\tvar url = new URL(document.getElementById(\\'search-form-id-_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\\').action);\\r\\n\\t\\t\\t\\t\\t\\t\\tif(ui.item.type==\\'collection\\'){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_collection\\', ui.item.code);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(\"\");\\r\\n\\t\\t\\t\\t\\t\\t\\t} else if(ui.item.type==\\'theme\\'){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_theme\\', ui.item.code);\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(\"\");\\r\\n\\t\\t\\t\\t\\t\\t\\t} else if(ui.item.type==\\'tree folder\\'){\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_folderTitle\\', ui.item.suggest.highlightPhrase.replace(/(<([^>]+)>)/ig,\"\"));\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_collection\\', \\'dataset\\');\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(\"\");\\r\\n\\t\\t\\t\\t\\t\\t\\t} else {\\r\\n\\t\\t\\t\\t\\t\\t\\t\\turl.searchParams.set(\\'_estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_text\\', ui.item.suggest.highlightPhrase.replace(/(<([^>]+)>)/ig,\"\"));\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(ui.item.suggest.highlightPhrase.replace(/(<([^>]+)>)/ig,\"\"));\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t\\t//$(\"input[name*=\\'collection\\']\").val(ui.item.type);\\t\\r\\n\\t\\t\\t\\t\\t\\t\\t}\\r\\n\\t\\t\\t\\t\\t\\t\\tevent.preventDefault();\\r\\n\\t\\t\\t\\t\\t\\t\\twindow.location.href=url.href;\\r\\n\\t\\t\\t\\t\\t\\t},\\r\\n\\t\\t\\t\\t\\t\\tchange: function( event, ui ) {\\r\\n\\t\\t\\t\\t\\t\\t\\t  if(ui.item != null){\\r\\n\\t\\t\\t\\t\\t\\t\\t  \\t$(\".main-search-field._estatsearchportlet_WAR_estatsearchportlet_INSTANCE_bHVzuvn1SZ8J_\").val(ui.item.suggest.highlightPhrase.replace(/(<([^>]+)>)/ig,\"\"));\\r\\n\\t\\t\\t\\t\\t\\t\\t  }\\r\\n\\t\\t\\t\\t\\t\\t\\t  event.preventDefault();\\r\\n\\t\\t\\t\\t\\t\\t},\\r\\n\\t\\t\\t\\t\\t\\t/*response: function(event, ui) {\\r\\n\\t\\t\\t\\t\\t        if (!ui.content.length) {\\r\\n\\t\\t\\t\\t\\t            var noResult = { value:\"\",label:\"no_results_found\" };\\r\\n\\t\\t\\t\\t\\t            ui.content.push(noResult);\\r\\n\\t\\t\\t\\t\\t        }\\r\\n\\t\\t\\t\\t\\t    }*/\\r\\n\\t\\t\\t\\t\\t});\\r\\n\\t\\t\\t</script>\\r\\n\\t\\t</form>\\r\\n        \\n\\n\\t\\n\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\n\\t\\n\\t\\n\\n\\n\\t</div>\\n\\n\\t\\t\\t</div>\\n\\t\\t\\n        </div>\\n</section>\\n\\t\\n\\n\\t\\t\\n\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\t</div>\\n\\n\\n\\n\\n\\n\\n                        </div>\\n                    </div>\\n                </div>\\n            </div>\\n        </div>\\n    </div>\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\n\\t<div class=\"portlet-boundary portlet-boundary_com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_  portlet-static portlet-static-end portlet-barebone portlet-navigation \" id=\"p_p_id_com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_INSTANCE_ecl_navigation_menu_instance_\">\\n\\t\\t<span id=\"p_com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_INSTANCE_ecl_navigation_menu_instance\"></span>\\n\\n\\n\\n\\n\\t\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\t\\t\\n<section class=\"portlet\" id=\"portlet_com_liferay_site_navigation_menu_web_portlet_SiteNavigationMenuPortlet_INSTANCE_ecl_navigation_menu_instance\">\\n\\n        <div class=\"portlet-content\">\\n\\n                <div class=\"autofit-float autofit-row portlet-header\">\\n\\n                        <div class=\"autofit-col autofit-col-end\">\\n                                <div class=\"autofit-section\">\\n                                </div>\\n                        </div>\\n                </div>\\n\\n                \\n\\t\\t\\t<div class=\" portlet-content-container\">\\n\\t\\t\\t\\t\\n\\n\\n\\t<div class=\"portlet-body\">\\n\\n\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\t\\t\\t\\n\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\n\\n\\t\\n\\n\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\t\\n\\t\\t<div class=\"ecl-site-header__banner\">\\n    <div class=\"ecl-container\"></div>\\n</div>\\n<nav class=\"ecl-menu\" data-ecl-menu data-ecl-menu-max-lines=\"2\" data-ecl-auto-init=\"Menu\" data-ecl-menu-label-open=\"Menu\" data-ecl-menu-label-close=\"Close\" aria-expanded=\"false\" role=\"navigation\">\\n    <div class=\"ecl-menu__overlay\"></div>\\n    <div class=\"ecl-container ecl-menu__container\">\\n        <a href=\"#\" class=\"ecl-link ecl-link--standalone ecl-link--icon ecl-button ecl-button--tertiary ecl-menu__open ecl-link--icon-only\" data-ecl-menu-open>\\n            <svg class=\"ecl-icon ecl-icon--m ecl-link__icon\" focusable=\"false\" aria-hidden=\"true\">\\n                <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#hamburger\"></use>\\n            </svg>\\n            <svg class=\"ecl-icon ecl-icon--s ecl-link__icon\" focusable=\"false\" aria-hidden=\"true\">\\n                <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#close-filled\"></use>\\n            </svg>\\n            <span class=\"ecl-link__label\">Menu</span>\\n        </a>\\n        <section class=\"ecl-menu__inner\" data-ecl-menu-inner role=\"application\" aria-label=\"Menu\">\\n            <header class=\"ecl-menu__inner-header\">\\n                <button class=\"ecl-button ecl-button--ghost ecl-menu__close\" type=\"submit\" data-ecl-menu-close>\\n                    <span class=\"ecl-button__container\">\\n                        <span class=\"ecl-button__label\" data-ecl-label=\"true\">Close</span>\\n                        <svg class=\"ecl-icon ecl-icon--s ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                            <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#close-filled\"></use>\\n                        </svg>\\n                    </span>\\n                </button>\\n                <div class=\"ecl-menu__title\">Menu</div>\\n                <button class=\"ecl-button ecl-button--ghost ecl-menu__back\" type=\"submit\" data-ecl-menu-back>\\n                    <span class=\"ecl-button__container\">\\n                        <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-270 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                            <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                        </svg>\\n                        <span class=\"ecl-button__label\" data-ecl-label=\"true\">Back</span>\\n                    </span>\\n                </button>\\n            </header>\\n            <button class=\"ecl-button ecl-button--ghost ecl-menu__item ecl-menu__items-previous ecl-button--icon-only\" type=\"button\" data-ecl-menu-items-previous tabindex=\"-1\">\\n                <span class=\"ecl-button__container\">\\n                    <svg class=\"ecl-icon ecl-icon--s ecl-icon--rotate-270 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                    </svg>\\n                    <span class=\"ecl-button__label\" data-ecl-label=\"true\">Previous items</span>\\n                </span>\\n            </button>\\n            <button class=\"ecl-button ecl-button--ghost ecl-menu__item ecl-menu__items-next ecl-button--icon-only\" type=\"button\" data-ecl-menu-items-next tabindex=\"-1\">\\n                <span class=\"ecl-button__container\">\\n                    <svg class=\"ecl-icon ecl-icon--s ecl-icon--rotate-90 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                    </svg>\\n                    <span class=\"ecl-button__label\" data-ecl-label=\"true\">Next items</span>\\n                </span>\\n            </button>\\n            <ul class=\"ecl-menu__list\" data-ecl-menu-list>\\n                        <li class=\"ecl-menu__item  menu-indent1\" data-ecl-menu-item>\\n                            <a href=\"/eurostat/web/main/home\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>\\n                                Home\\n                            </a>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col3\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/data\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>Data</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col1\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Explore data</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/data/database\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Database\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/data/statistical-themes\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Statistical themes\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/data/stats-finder-a-z\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Stats finder A-Z\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--5>\\n                <a href=\"/eurostat/web/experimental-statistics\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Experimental statistics\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--6>\\n                <a href=\"/eurostat/web/main/data/data-visualisations\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Data visualisations\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--7>\\n                <a href=\"/eurostat/web/education-corner/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Education corner\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col2\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Advanced tools and services</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/data/web-services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Web services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/data/bulkdownload\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Bulk download\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--4>\\n                <a href=\"/eurostat/web/gisco/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    GISCO:Geographical Information and maps\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--5>\\n                <a href=\"/eurostat/web/microdata/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Microdata\\n                </a>\\n            </li>\\n    </ul>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--6\\n                                        start--6\\n                                        end--7>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--7\\n                                        start--6\\n                                        end--7>\\n                                    </li>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col3\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Quality and European statistics</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--2>\\n                <a href=\"/eurostat/web/quality/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Quality\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--3>\\n                <a href=\"/eurostat/web/metadata/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Metadata\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/data/data-validation\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Data validation\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/data/data-revision-policy\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Data revision policy\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--6>\\n                <a href=\"/eurostat/web/sdmx-infospace/welcome\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    SDMX InfoSpace\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--7>\\n                <a href=\"/eurostat/cros/\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Research and methodology (CROS)\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--8>\\n                <a href=\"/eurostat/web/main/data/link-to-evaluation\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Evaluation\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col0\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/news\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>News</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--1>\\n                <a href=\"/eurostat/web/main/news/news-articles\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    News articles\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--2>\\n                <a href=\"/eurostat/web/main/news/euro-indicators\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Euro indicators\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--3>\\n                <a href=\"/eurostat/web/main/news/podcasts\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Podcasts\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--4>\\n                <a href=\"/eurostat/web/main/news/events\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Events\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--5>\\n                <a href=\"/eurostat/web/main/news/release-calendar\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Release calendar\\n                </a>\\n            </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col2\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/publications\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>Publications</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col1\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Collections</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/publications/flagship-publications\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Flagship publications\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/publications/interactive-publications\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Interactive publications\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/publications/key-figures\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Key figures\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--5>\\n                <a href=\"/eurostat/statistics-explained/index.php?title=Online_publications\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Online reads\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--6>\\n                <a href=\"/eurostat/web/main/publications/manuals-and-guidelines\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Manuals and guidelines\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--7>\\n                <a href=\"/eurostat/web/main/publications/statistical-working-papers\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Statistical working papers\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--8>\\n                <a href=\"/eurostat/web/main/publications/statistical-reports\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Statistical reports\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--9>\\n                <a href=\"/eurostat/web/main/publications/leaflets\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Leaflets\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col2\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\"></span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--2>\\n                <a href=\"/eurostat/statistics-explained/index.php?title=Main_Page\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Statistics Explained\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/publications/link-to-release-calendar\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Release calendar\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/publications/style-guides\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Style guides\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/publications/order-publication\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Order a publication\\n                </a>\\n            </li>\\n    </ul>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--6\\n                                        start--6\\n                                        end--9>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--7\\n                                        start--6\\n                                        end--9>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--8\\n                                        start--6\\n                                        end--9>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col2\\n                                        iCol--9\\n                                        start--6\\n                                        end--9>\\n                                    </li>\\n                    </ul>\\n                </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--full\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/about-us\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>About us</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col1\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Our organisation</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/about-us/who-we-are\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Who we are\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/about-us/who-does-what\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Who does what\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/about-us/how-to-find-us\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    How to find us\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col1 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/about-us/history\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    History\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col2\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Our policies</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/about-us/policies/co-ordination-role\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Co-ordination role\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--3>\\n                <a href=\"/eurostat/web/main/about-us/policies/communication-dissemination\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Communication and dissemination\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/about-us/policies/link-to-quality\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Quality\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/data-revision-policy\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Data revision policy\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--6>\\n                <a href=\"/eurostat/cros/\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Research and methodology (CROS)\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--7>\\n                <a href=\"/eurostat/web/main/about-us/policies/copyright\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Copyright notice and free re-use of data\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col2 indent--3 icol--8>\\n                <a href=\"/eurostat/web/main/about-us/policies/evaluation\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Evaluation\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col3\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Our partners</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--2>\\n                <a href=\"/eurostat/web/european-statistical-system/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    European Statistical System (ESS)\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col3 indent--3 icol--3>\\n                <a href=\"/eurostat/web/international-cooperation/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    International cooperation\\n                </a>\\n            </li>\\n    </ul>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--4\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--5\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--6\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--7\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                                    <li class=\"ecl-menu__subitem menu-indent2 menu-hidden\"\\n                                        data-ecl-menu-subitem-rvp\\n                                         data-ecl-menu-subitem--col3\\n                                        iCol--8\\n                                        start--4\\n                                        end--8>\\n                                    </li>\\n                    </ul>\\n                </li>\\n                <li class=\"menu-border\">\\n                    <ul class=\"submenu-list\">\\n                        <li class=\"ecl-menu__subitem menu-indent1\" data-ecl-menu-subitem-rvp data-ecl-menu-subitem--col4\\n                            indent--2 icol--1>\\n                            <span class=\"column-title\">Working with us</span>\\n                        </li>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--2>\\n                <a href=\"/eurostat/web/main/about-us/job-opportunities\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Job opportunities\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--3>\\n                <a href=\"/eurostat/web/calls-for-tenders/overview\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Calls for tenders\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--4>\\n                <a href=\"/eurostat/web/main/about-us/grants\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Grants\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--5>\\n                <a href=\"/eurostat/web/main/about-us/public-consultations\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Public consultations\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent2\"\\n                data-ecl-menu-subitem-rvp  data-ecl-menu-subitem--col4 indent--3 icol--6>\\n                <a href=\"/eurostat/web/main/about-us/link-to-events\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Events\\n                </a>\\n            </li>\\n    </ul>\\n                    </ul>\\n                </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col0\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/contact-us\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>Contact us</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--1>\\n                <a href=\"/eurostat/web/main/contact-us/user-support\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    User support\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--2>\\n                <a href=\"/eurostat/web/main/contact-us/fact-checking-services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Fact-checking services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--3>\\n                <a href=\"/eurostat/web/main/contact-us/press-services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Press services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--4>\\n                <a href=\"/eurostat/web/main/contact-us/institutional-services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Institutional services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--5>\\n                <a href=\"/eurostat/web/main/contact-us/visit-us\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Visit us\\n                </a>\\n            </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n                        <li class=\"ecl-menu__item  ecl-menu__item--has-children menu-indent1 ecl-menu__item--col0\" data-ecl-menu-item data-ecl-has-children aria-haspopup aria-expanded=\"false\">\\n                            <a href=\"/eurostat/web/main/help\" class=\"ecl-link ecl-link--standalone ecl-menu__link \" data-ecl-menu-link>Help</a>\\n                            <button class=\"ecl-button ecl-button--ghost ecl-menu__button-caret ecl-button--icon-only\" type=\"button\" data-ecl-menu-caret aria-label=\"Access item\\'s children\" aria-expanded=\"false\">\\n                                <span class=\"ecl-button__container\">\\n                                    <svg class=\"ecl-icon ecl-icon--xs ecl-icon--rotate-180 ecl-button__icon\" focusable=\"false\" aria-hidden=\"true\" data-ecl-icon>\\n                                        <use xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#corner-arrow\"></use>\\n                                    </svg>\\n                                </span>\\n                            </button>\\n                            <div class=\"ecl-menu__mega\" data-ecl-menu-mega>\\n    <ul class=\"ecl-menu__sublist\">\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--1>\\n                <a href=\"/eurostat/web/main/help/website-guide\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Website guide\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--2>\\n                <a href=\"/eurostat/web/main/help/products-and-tools\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Products and tools\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--3>\\n                <a href=\"/eurostat/web/main/help/services\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Services\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--4>\\n                <a href=\"/eurostat/web/main/alert\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Alert\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--5>\\n                <a href=\"/eurostat/web/main/help/faq\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Frequently asked questions\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--6>\\n                <a href=\"/eurostat/web/main/help/accessibility\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Accessibility\\n                </a>\\n            </li>\\n            <li class=\"ecl-menu__subitem   menu-indent1\"\\n                data-ecl-menu-subitem-rvp  indent--2 icol--7>\\n                <a href=\"/eurostat/web/main/help/maintenance-information\" class=\"ecl-link ecl-link--standalone ecl-menu__sublink \">\\n                    Maintenance information\\n                </a>\\n            </li>\\n    </ul>\\n                            </div>\\n                        </li>\\n            </ul>\\n        </section>\\n    </div>\\n</nav>\\n\\n\\n\\t\\n\\t\\n\\t\\n\\n\\n\\t\\n\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\n\\t\\n\\t\\n\\n\\n\\t</div>\\n\\n\\t\\t\\t</div>\\n\\t\\t\\n        </div>\\n</section>\\n\\t\\n\\n\\t\\t\\n\\t\\t\\n\\n\\n\\n\\n\\n\\n\\n\\t</div>\\n\\n\\n\\n\\n\\n\\n</header>\\n        <section id=\"content\" class=\"ecl-u-pb-xl\">\\n\\n\\n    \\n                <div class=\"container\">\\n            \\n                    \\n                    \\n\\n\\n<section class=\"portlet\" id=\"portlet_status\">\\n\\n        <div class=\"portlet-content\">\\n\\n                <div class=\"autofit-float autofit-row portlet-header\">\\n                        <div class=\"autofit-col autofit-col-expand\">\\n                                <h2 class=\"portlet-title-text\">Status 404</h2>\\n                        </div>\\n\\n                        <div class=\"autofit-col autofit-col-end\">\\n                                <div class=\"autofit-section\">\\n                                </div>\\n                        </div>\\n                </div>\\n\\n                \\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\t\\n\\t\\t<h3 class=\"alert alert-danger\">\\n\\t\\t\\tNot Found\\n\\t\\t</h3>\\n\\n\\t\\tThe requested resource could not be found.\\n\\n\\t\\t<br /><br />\\n\\n\\t\\t<code class=\"lfr-url-error\">https://ec.europa.eu/eurostat/SDMX/diss-web/rest/datastructure/ESTAT/DSD_tran_sf_railac</code>\\n\\t\\n\\t\\n\\n<div class=\"separator\"><!-- --></div>\\n\\n<a href=\"javascript:history.go(-1);\">&laquo; Back</a>\\n\\n\\n        </div>\\n</section>            \\n                </div>\\n        </section>\\n        <script type=\"text/javascript\">\\n            function textNodesUnder(e) { for (var t, n = [], r = document.createTreeWalker(e, NodeFilter.SHOW_TEXT, null, !1); t = r.nextNode();)if(t.parentElement && t.parentElement.tagName != \"STYLE\" && t.parentElement.tagName != \"SCRIPT\") n.push(t); return n } textNodesUnder(document.querySelector(\"#content\")).forEach(e => e.textContent = e.textContent.replace(/(\\\\d+)(\\\\s+)(\\\\d+)/g, \"$1\\xc2\\xa0$3\"));\\n        </script>\\n<aside id=\"estat-feedback-form\" class=\"ecl-u-pv-m\">\\n    <div class=\"ecl-container\">\\n        <!-- alerts -->\\n        <div id=\"ff-alerts\" hidden>\\n            <div class=\"ecl-notification ecl-notification--success\" data-ecl-notification role=\"alert\" data-ecl-auto-init=\"Notification\">\\n                <svg class=\"ecl-icon ecl-icon--s ecl-notification__icon\" focusable=\"false\" aria-hidden=\"true\">\\n                    <use\\n                        xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#success\">\\n                    </use>\\n                </svg>\\n                <div class=\"ecl-notification__content\">\\n                    <button id=\"ff-close\" class=\"ecl-button ecl-button--ghost ecl-notification__close\" type=\"button\"\\n                        data-ecl-notification-close>\\n                        <span class=\"ecl-button__container\">\\n                            <span class=\"ecl-button__label\" data-ecl-label=\"true\">\\nClose                            </span>\\n                            <svg class=\"ecl-icon ecl-icon--s ecl-button__icon\" focusable=\"false\"\\n                                aria-hidden=\"true\" data-ecl-icon>\\n                                <use\\n                                    xlink:href=\"https://ec.europa.eu/eurostat/o/estat-theme-ecl/images/icons/sprites/icons.svg?browserId=other&amp;minifierType=js&amp;languageId=en_GB&amp;t=1717484464000#close-filled\">\\n                                </use>\\n                            </svg>\\n                        </span>\\n                    </button>\\n                    <div class=\"ecl-notification__title\">\\nYour feedback was sent                    </div>\\n                    <div class=\"ecl-notification__description ff-useful-yes\" hidden>\\nThank you for your feedback.                    </div>\\n                    <div class=\"ecl-notification__description ff-useful-no\" hidden>\\nThank you for the information. 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{\\n\\t\\t\\t\\t\\tapplicationJsonScripts[i].innerHTML = JSON.stringify(json);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n</script>\\n<!-- End Piwik Code -->\\n\\n\\n<script type=\"text/javascript\">\\n\\t// <![CDATA[\\n\\t\\tAUI().use(\\n\\t\\t\\t\\'aui-base\\',\\n\\t\\t\\tfunction(A) {\\n\\t\\t\\t\\tvar frameElement = window.frameElement;\\n\\n\\t\\t\\t\\tif (frameElement && frameElement.getAttribute(\\'id\\') === \\'simulationDeviceIframe\\') {\\n\\t\\t\\t\\t\\tA.getBody().addClass(\\'lfr-has-simulation-panel\\');\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t);\\n\\t// ]]>\\n</script><script type=\"text/javascript\">\\n// <![CDATA[\\nLiferay.Loader.require(\\'frontend-js-tooltip-support-web@2.0.5/index\\', function(frontendJsTooltipSupportWeb205Index) {\\n(function(){\\nvar TooltipSupport = frontendJsTooltipSupportWeb205Index;\\n(function() {\\ntry {\\nTooltipSupport.default()\\n}\\ncatch (err) {\\nconsole.error(err);\\n}\\n})();})();\\n});\\n// ]]>\\n</script>\\n    <!-- inject:js -->\\n    <!-- endinject -->\\n\\n</body>\\n\\n</html>\\n\\t\\t\\n\\t\\n\\n'"
     ]
    }
   ],
   "source": [
    "eurostat = Data(database=\"eurostat\")\n",
    "eurostat.retrieve(\"tran_sf_railac\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd1a1129-1422-4574-a614-d22f8ff96f72",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> Two Independent Variable Regression</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dfeb858-4885-4a47-bf39-0e06699bd0e6",
   "metadata": {},
   "source": [
    "The regression model with two independent variables are often the representative pedagogic tool of multiple linear regression. We start from here too, here is the model:\n",
    "$$\n",
    "Y_{i}=\\beta_{1}+\\beta_{2} X_{2 i}+\\beta_{3} X_{3 i}+u_{i}\n",
    "$$\n",
    "$X_{2 i}$ and $X_{3 i}$ are the indexed independent variables. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09198d52-6ff0-400e-b696-cfb96ded3b00",
   "metadata": {},
   "source": [
    "Without disturbance term, the model is merely a function of a plane in $\\mathbb{R}^3$, such as\n",
    "$$\n",
    "Y = 1 + 2X_2 + 3X_3\n",
    "$$\n",
    "We can visualise the plane and data points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f24fb54-dd9e-4401-85d5-fcf1d5c72825",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x2, x3 = np.arange(-3, 4, 1), np.arange(-3, 4, 1)\n",
    "X2, X3 = np.meshgrid(x2, x3)  # this is coordinates on X2-X3 plane\n",
    "u = np.random.randn(7, 7) * 3\n",
    "Y = 1 + 2 * X2 + 3 * X3  # plane without disturbance term\n",
    "Yu = 1 + 2 * X2 + 3 * X3 + u  # with disturbance term\n",
    "\n",
    "fig = plt.figure(figsize=(9, 9))\n",
    "ax = fig.add_subplot(111, projection=\"3d\")\n",
    "\n",
    "ax.set_title(\"$Y=1+2X_2+3X_3$\", size=18)\n",
    "ax.view_init(elev=30, azim=20)\n",
    "ax.plot_surface(X2, X3, Y, cmap=\"viridis\", alpha=0.5)  # MATLAB default color map\n",
    "ax.scatter(X2, X3, Yu, s=100)\n",
    "\n",
    "for i in range(len(X2.flatten())):\n",
    "    ax.plot(\n",
    "        [X2.flatten()[i], X2.flatten()[i]],\n",
    "        [X3.flatten()[i], X3.flatten()[i]],\n",
    "        [Y.flatten()[i], Yu.flatten()[i]],\n",
    "    )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95d68d25-c56e-4590-80ee-0adb9a859b6a",
   "metadata": {},
   "source": [
    "<div style=\"background-color:Bisque; color:DarkBlue; padding:30px;\">\n",
    "<b>Side Note:</b><br>\n",
    "Matplotlib isn't able to draw real 3D plot, all the 3D plots are actually 2D projections. Too draw serious 3D graphs, <code>mayavi</code> and <code>plotly</code> are the better choices.\n",
    "</div> "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5358ef7-ff80-4e39-9851-9854a251e176",
   "metadata": {},
   "source": [
    "The formulae of $b_1$, $b_2$ and $b_3$ are presented here without proofs \n",
    "\\begin{align}\n",
    "b_{1}&=\\bar{Y}-b_{2} \\bar{X}_{2}-b_{3} \\bar{X}_{3}\\\\\n",
    "b_{2}&=\\frac{\\operatorname{Cov}\\left(X_{2}, Y\\right) \\operatorname{Var}\\left(X_{3}\\right)-\\operatorname{Cov}\\left(X_{3}, Y\\right) \\operatorname{Cov}\\left(X_{2}, X_{3}\\right)}{\\operatorname{Var}\\left(X_{2}\\right) \\operatorname{Var}\\left(X_{3}\\right)-\\left[\\operatorname{Cov}\\left(X_{2}, X_{3}\\right)\\right]^{2}}\\\\\n",
    "b_{3}&=\\frac{\\operatorname{Cov}\\left(X_{3}, Y\\right) \\operatorname{Var}\\left(X_{2}\\right)-\\operatorname{Cov}\\left(X_{2}, Y\\right) \\operatorname{Cov}\\left(X_{3}, X_{2}\\right)}{\\operatorname{Var}\\left(X_{3}\\right) \\operatorname{Var}\\left(X_{2}\\right)-\\left[\\operatorname{Cov}\\left(X_{3}, X_{2}\\right)\\right]^{2}}\n",
    "\\end{align}\n",
    "The algebraic expressions are becoming exponentially burdensome as number of variables rises, therefore we won't even try to reproduce the derivation. But the general idea is always the same despite of number of independent variables—taking partial derivatives towards all $b$'s\n",
    "$$\n",
    "\\begin{gathered}\n",
    "\\frac{\\partial R S S}{\\partial b_{1}}=-2 \\sum_{i=1}^{n}\\left(Y_{i}-b_{1}-b_{2} X_{2 i}-b_{3} X_{3 i}\\right)=0 \\\\\n",
    "\\frac{\\partial R S S}{\\partial b_{2}}=-2 \\sum_{i=1}^{n} X_{2 i}\\left(Y_{i}-b_{1}-b_{2} X_{2 i}-b_{3} X_{3 i}\\right)=0 \\\\\n",
    "\\frac{\\partial R S S}{\\partial b_{3}}=-2 \\sum_{i=1}^{n} X_{3 i}\\left(Y_{i}-b_{1}-b_{2} X_{2 i}-b_{3} X_{3 i}\\right)=0\n",
    "\\end{gathered}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9467263-8235-4a18-a674-b1acae57eb28",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> Cobb-Douglas Production Function </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89dab175-6eb5-4e9e-be4d-dfb18aaed384",
   "metadata": {},
   "source": [
    "The multiple regression coefficients represent each $X$'s influence on $Y$ while controlling all other $X$ variables. We will use the celebrated Cobb–Douglas (C-D) production function to demonstrate how this holds. The stochastic C-D function form is\n",
    "$$\n",
    "Y_i = A L_i^\\beta K_i^\\alpha e^{u_i}\n",
    "$$\n",
    "where $Y$ stands for output, $A$ for technology, $L$ for labor input, $K$ for capital input. And from lecture 2, we have known that $\\alpha$ and $\\beta$ are output elasticities of labor input and capital input. Take natural log, \n",
    "$$\n",
    "\\ln{Y_i} = \\ln{A} + \\beta \\ln{L_i}+\\alpha\\ln{K_i} + u_i\n",
    "$$\n",
    "Estimation of $\\alpha$ and $\\beta$  gives information about _returns to scale_, i.e.\n",
    "$$\n",
    "\\alpha+\\beta = 1 \\qquad \\text{Constant returns to scale}\\\\\n",
    "\\alpha+\\beta < 1 \\qquad \\text{Decreasing returns to scale}\\\\\n",
    "\\alpha+\\beta > 1 \\qquad \\text{Increasing returns to scale}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89637a20-5096-40f7-bc4f-2c5c0a5e6460",
   "metadata": {},
   "source": [
    "Import the data, which is from _Annual Survey of Manufacturers 2005_. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d01aa01a-3125-44e1-9e11-5bd74053f53d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Area</th>\n",
       "      <th>Output Value Added (thousands of $)</th>\n",
       "      <th>Labour Input Worker Hours (thousands)</th>\n",
       "      <th>Capital Input (thousands)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>38372840</td>\n",
       "      <td>424471</td>\n",
       "      <td>2689076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alaska</td>\n",
       "      <td>1805427</td>\n",
       "      <td>19895</td>\n",
       "      <td>57997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arizona</td>\n",
       "      <td>23736129</td>\n",
       "      <td>206893</td>\n",
       "      <td>2308272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>26981983</td>\n",
       "      <td>304055</td>\n",
       "      <td>1376235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>California</td>\n",
       "      <td>217546032</td>\n",
       "      <td>1809756</td>\n",
       "      <td>13554116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Area  Output Value Added (thousands of $)  \\\n",
       "0     Alabama                             38372840   \n",
       "1      Alaska                              1805427   \n",
       "2     Arizona                             23736129   \n",
       "3    Arkansas                             26981983   \n",
       "4  California                            217546032   \n",
       "\n",
       "   Labour Input Worker Hours (thousands)  Capital Input (thousands)  \n",
       "0                                 424471                    2689076  \n",
       "1                                  19895                      57997  \n",
       "2                                 206893                    2308272  \n",
       "3                                 304055                    1376235  \n",
       "4                                1809756                   13554116  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_excel(\"Basic_Econometrics_practice_data.xlsx\", sheet_name=\"US_CobbDauglas\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63471b84-9864-4997-8afb-ff04691d722b",
   "metadata": {},
   "source": [
    "The data record output, labor input and capital input from each states in 2005, enough for demonstration purpose. Let's take natural log of the data and change the columns' names. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7dfa7f7b-943f-4507-a8c3-d8695d86d821",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Output Value Added (thousands of $)</th>\n",
       "      <th>Labour Input Worker Hours (thousands)</th>\n",
       "      <th>Capital Input (thousands)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17.462860</td>\n",
       "      <td>12.958599</td>\n",
       "      <td>14.804708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14.406308</td>\n",
       "      <td>9.898224</td>\n",
       "      <td>10.968147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16.982509</td>\n",
       "      <td>12.239957</td>\n",
       "      <td>14.652010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17.110680</td>\n",
       "      <td>12.624964</td>\n",
       "      <td>14.134862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19.197921</td>\n",
       "      <td>14.408703</td>\n",
       "      <td>16.422201</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Output Value Added (thousands of $)  Labour Input Worker Hours (thousands)  \\\n",
       "0                            17.462860                              12.958599   \n",
       "1                            14.406308                               9.898224   \n",
       "2                            16.982509                              12.239957   \n",
       "3                            17.110680                              12.624964   \n",
       "4                            19.197921                              14.408703   \n",
       "\n",
       "   Capital Input (thousands)  \n",
       "0                  14.804708  \n",
       "1                  10.968147  \n",
       "2                  14.652010  \n",
       "3                  14.134862  \n",
       "4                  16.422201  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[df.columns[1:4]]  # pick the data columns\n",
    "df = np.log(df)  # take log on the data\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a247caf2-1dfd-4d16-81fe-594de44e9d37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ln_Y</th>\n",
       "      <th>ln_L</th>\n",
       "      <th>ln_K</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17.462860</td>\n",
       "      <td>12.958599</td>\n",
       "      <td>14.804708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14.406308</td>\n",
       "      <td>9.898224</td>\n",
       "      <td>10.968147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>16.982509</td>\n",
       "      <td>12.239957</td>\n",
       "      <td>14.652010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17.110680</td>\n",
       "      <td>12.624964</td>\n",
       "      <td>14.134862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19.197921</td>\n",
       "      <td>14.408703</td>\n",
       "      <td>16.422201</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        ln_Y       ln_L       ln_K\n",
       "0  17.462860  12.958599  14.804708\n",
       "1  14.406308   9.898224  10.968147\n",
       "2  16.982509  12.239957  14.652010\n",
       "3  17.110680  12.624964  14.134862\n",
       "4  19.197921  14.408703  16.422201"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns = [\"ln_Y\", \"ln_L\", \"ln_K\"]  # change the names\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62486d55-3468-4bf8-9c84-1e8960591187",
   "metadata": {},
   "source": [
    "Now perform the OLS estimation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16bd2fd0-5d95-4317-8b02-de4237e7ef21",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   ln_Y   R-squared:                       0.964\n",
      "Model:                            OLS   Adj. R-squared:                  0.963\n",
      "Method:                 Least Squares   F-statistic:                     645.9\n",
      "Date:                Tue, 03 Aug 2021   Prob (F-statistic):           2.00e-35\n",
      "Time:                        16:19:00   Log-Likelihood:                -3.4267\n",
      "No. Observations:                  51   AIC:                             12.85\n",
      "Df Residuals:                      48   BIC:                             18.65\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const          3.8876      0.396      9.812      0.000       3.091       4.684\n",
      "ln_L           0.4683      0.099      4.734      0.000       0.269       0.667\n",
      "ln_K           0.5213      0.097      5.380      0.000       0.326       0.716\n",
      "==============================================================================\n",
      "Omnibus:                       45.645   Durbin-Watson:                   1.946\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              196.024\n",
      "Skew:                           2.336   Prob(JB):                     2.72e-43\n",
      "Kurtosis:                      11.392   Cond. No.                         201.\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "X = df[[\"ln_L\", \"ln_K\"]]\n",
    "Y = df[\"ln_Y\"]\n",
    "\n",
    "X = sm.add_constant(X)  # adding a constant\n",
    "\n",
    "model = sm.OLS(Y, X).fit()\n",
    "print_model = model.summary()\n",
    "print(print_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d3c872a-1bc1-4fda-b7c8-706052646422",
   "metadata": {},
   "source": [
    "Here are the estimated elasticities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98c43d7b-5dd3-45aa-a458-bd9ba5b41088",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "alpha: 0.5213    beta: 0.4683\n"
     ]
    }
   ],
   "source": [
    "print(\"alpha: {:.4f}    beta: {:.4f}\".format(model.params[2], model.params[1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "771b9e04-3dbb-4790-b62e-8ef752542b2d",
   "metadata": {},
   "source": [
    "It means, ceteris paribus, $1\\%$ raise of capital input led on $.52\\%$ increase in output, $1\\%$ raise of labor input led on $.47%$ increase in output.\n",
    "\n",
    "Adding up the elasticities gives the parameter of returns to scale $.99$, given possible statistical errors, we could conclude a constant return to scale."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8f00531-036e-4340-a590-7918bf2d20bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9896113184066175"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(model.params[2] + model.params[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "025d4475-f99f-4dae-a1bf-eacc6a265b24",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\">Adjusted $R^2$</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc73ba97-fa0d-478d-80f6-bece1a2520d4",
   "metadata": {},
   "source": [
    "Probably you have heard that $R^2$ is monotonic increasing function of number of independent variables, i.e. $R^2$ will always increase as you add more independent variables in the model. This might give an illusion that the model has better explanatory power, on the contrary, adding many independent variables would cause inefficiency of estimators, which is the reason we usually have **adjusted $R^2$**, denote as $\\bar{R}^2$, reported too.\n",
    "\n",
    "$$\n",
    "\\bar{R}^{2}=1-\\frac{\\operatorname{RSS} /(n-k)}{\\mathrm{TSS} /(n-1)}=1-\\left(1-R^{2}\\right) \\frac{n-1}{n-k}\n",
    "$$\n",
    "\n",
    "As you can see the $\\bar{R}^2$ is always smaller than $R^2$, therefore always use $\\bar{R}^2$ in multivariable regression."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aed9fb02-4c11-492c-a064-fde5cbecb91e",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> Regression With Purged Variables</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3ca8348-82b0-4378-afad-5e59cb43211a",
   "metadata": {},
   "source": [
    "What we want to demonstrate is that the multiple regression coefficients represent only the influence of their own variable, even though we purge the influence of other variables, the estimates are expected to be the same in multiple regression."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fadcae5d-cb7e-43b5-9b77-f174df488705",
   "metadata": {},
   "source": [
    "To purge the influence of $\\ln{L}$ on $\\ln{Y}$ and $\\ln{K}$, we evaluate two regression models as below"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b51ea62-4350-48ca-8090-02a047b2f5b8",
   "metadata": {},
   "source": [
    "\n",
    "$$\n",
    "\\ln{Y_i} = \\gamma_1 + \\gamma_2 \\ln{L_i}+u^Y_i\\\\\n",
    "\\ln{K_i}= \\zeta_1 + \\zeta_2\\ln{L_i}+v^K_i\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d837c1cf-80d3-4763-b200-cc6594972a5c",
   "metadata": {},
   "source": [
    "Perform the OLS estimation with ```statsmodels```."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2959d9b-b966-4966-ae42-a3680a8365a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "ln_K = df[\"ln_K\"]\n",
    "ln_L = df[\"ln_L\"]\n",
    "ln_Y = df[\"ln_Y\"]\n",
    "\n",
    "ln_L = sm.add_constant(ln_L)  # adding a constant\n",
    "\n",
    "model1 = sm.OLS(ln_Y, ln_L).fit()\n",
    "model2 = sm.OLS(ln_K, ln_L).fit()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e170ab80-e735-43dc-95bf-6d14844477fe",
   "metadata": {},
   "source": [
    "\n",
    "Next we retrieve the residual of both estimation, i.e. $\\ln{Y_i}^{resid}$ and $\\ln{K_i}^{resid}$, which are free of $\\ln{L}$'s influence, the exact reason we call them 'purged'. \n",
    "$$\n",
    "\\ln{Y_i}^{resid}=\\ln{Y_i}-\\widehat{\\ln{Y_i}} \\\\\n",
    "\\ln{K_i}^{resid}=\\ln{K_i}-\\widehat{\\ln{K_i}} \n",
    "$$\n",
    "Then regress $e^Y$ on $e^K$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d2bf8ea-ff61-4682-a1be-2cf0eb9b1b1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "x1    0.521279\n",
       "dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ln_Y_resid = model1.resid\n",
    "ln_K_resid = model2.resid\n",
    "\n",
    "model3 = sm.OLS(ln_Y_resid, ln_K_resid).fit()\n",
    "model3.params"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec128e5e-93ec-4565-bc31-3f00089e90a5",
   "metadata": {},
   "source": [
    "The estimate is exactly the same as in multiple regression."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "377c7533-5ae2-4e11-a7e8-743ce93577ac",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> Multicollinearity</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23499378-6c21-4bb8-b421-59f3de5b6e52",
   "metadata": {},
   "source": [
    "It is common that variables are correlated with each other to some extent, for instance in Cobb-Douglas model, higher labor input might induce higher capital investment, because each labor requires some level of capital to produce. On the other hand, higher capital investment also requires more labor input, e.g. if office buildings are constructed, there will be more recruitment.\n",
    "\n",
    "This phenomenon of correlated independent variables is termed **multicollinearity**.\n",
    "\n",
    "But is multicollinearity desirable? _Hardly_.\n",
    "\n",
    "In two variable regression case, the standard error of $b_2$ is\n",
    "$$\n",
    "\\text { s.e. }\\left(b_{2}\\right)=\\sqrt{\\frac{s_{u}^{2}}{n \\operatorname{Var}\\left(X_{2}\\right)} \\times \\frac{1}{1-r_{X_{2}, X_{3}}^{2}}}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7502528a-6148-46d3-b476-b0bf08cf1f4e",
   "metadata": {},
   "source": [
    "If you can recall the formula of single regression model, the difference is the part \n",
    "$$\\sqrt{\\frac{1}{1-r^2_{X_2, X_3}}}$$\n",
    "where $r^2_{X_2, X_3}$ is the correlation coefficient. \n",
    "\n",
    "If hold other things constant, the larger the correlation, the smaller the denominator, then standard error is larger. This the exactly the reason we see multicollinearity as an undesirable feature. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "578cdf53-7db8-4d4a-b955-f0a1ffe1622b",
   "metadata": {},
   "source": [
    "<div style=\"background-color:Bisque; color:DarkBlue; padding:30px;\">\n",
    "<b>Perfect Multicollinearity</b><br><br>\n",
    "And you probably have noticed there is a condition $r^2_{X_2, X_3}=1$ that makes the whole standard error formula invalid, this applies to any type of linear regression model, if any two independent variables perfectly correlated, the model will be invalid and can't be estimated either.<br><br>\n",
    "    \n",
    "Not only two variable cases, in the multiple regression, an independent variable might be a <a href='https://nbviewer.jupyter.org/github/WeijieChen-MacroAnalyst/Linear_Algebra_With_Python/blob/master/Chapter%206%20-%20Linear%20Combination.ipynb'>linear combination</a> of some other variables. It's would be arduous work to detect where correlations originate, because  pairwise correlation might seem totally normal.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6ac1d9a-0174-4155-b792-be0ca454f7fd",
   "metadata": {},
   "source": [
    "Let's load the Cobb-Dauglas data again without log transformation. And compute correlation coefficient"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3275007-fe32-4c84-99ac-d86cd4908106",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(\"Basic_Econometrics_practice_data.xlsx\", sheet_name=\"US_CobbDauglas\")\n",
    "df = df[df.columns[1:4]]  # pick the data columns\n",
    "df.columns = [\"Y\", \"L\", \"K\"]\n",
    "np.corrcoef(df[\"L\"], df[\"K\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d53f8dac-239a-4f67-a124-cb60bab5f73c",
   "metadata": {},
   "source": [
    "It's not a surprise to see high correlation $.94$ between capital and labor, but the high correlation does not necessarily lead to poor estimates, as long as other factors are well-controlled, such as _large variance of independent variables_, _small variance of disturbance term_ and _large sample size_. \n",
    "\n",
    "We only talk about multicollinearity explicitly when independent variables are highly correlated and one or more of conditions above are also obstructive. \n",
    "\n",
    "Once you suspect multicollinearity presents, you should expect the following consequences."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "510c5fb9-a259-4b9b-bfff-3c96d337287c",
   "metadata": {},
   "source": [
    "<div style=\"background-color:Bisque; color:DarkBlue; padding:30px;\">\n",
    "<b>Consequences of Multicollinearity</b><br><br>\n",
    "1. Wider confidence interval<br>\n",
    "2. Insignificant $t$-statistic<br>\n",
    "3. Though some $t$-statistic might be insignificant, but the $R^2$ can be misleadingly high<br>\n",
    "4. Any data change might cause drastic estimation result\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efd00c95-9d11-45bd-abf2-71c7904c7582",
   "metadata": {},
   "source": [
    "The first and the second are intuitive and they are the effects of larger standard errors.\n",
    "\n",
    "The third consequence can be seen as an alert, especially when the estimation reports very few significant $t$-statistics, but $R^2$ are exceedingly high, this is a signal of severe multicollinearity. \n",
    "\n",
    "To understand why this is the case, we can perform Monte Carlo experiment of joint confidence region. Here is the simulated joint distribution of $\\beta_2$ and $\\beta_3$. We deliberately created $X_2$ and $X_3$ with linear relationship, i.e. $X_3 = 10 X_2+v$, so we are expecting the issue of multicollinearity in the estimation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c1f3090-8068-4f05-b153-633260879877",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "beta1, beta2, beta3 = 3, 2, 1  # pre-set the parameters\n",
    "beta1_array, beta2_array, beta3_array = [], [], []\n",
    "np.random.seed(100)  # reproducible results\n",
    "for i in range(1000):\n",
    "    u = 100 * np.random.randn(30)\n",
    "    v = 100 * np.random.randn(30)\n",
    "    X2 = np.linspace(10, 100, 30)\n",
    "    X3 = 10 * X2 + v\n",
    "    Y = beta1 + beta2 * X2 + beta3 * X3 + u\n",
    "\n",
    "    df = pd.DataFrame([Y, X2, X3]).transpose()\n",
    "    df.columns = [\"Y\", \"X2\", \"X3\"]\n",
    "\n",
    "    X_inde = df[[\"X2\", \"X3\"]]\n",
    "    Y = df[\"Y\"]\n",
    "\n",
    "    X_inde = sm.add_constant(X_inde)\n",
    "\n",
    "    model = sm.OLS(Y, X_inde).fit()\n",
    "    beta1_array.append(model.params[0])\n",
    "    beta2_array.append(model.params[1])\n",
    "    beta3_array.append(model.params[2])\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "ax.grid()\n",
    "for i in range(1000):\n",
    "    ax.scatter(\n",
    "        beta2_array[i], beta3_array[i]\n",
    "    )  # no need for a loop, i just want different colors\n",
    "ax.set_xlabel(r\"$b_2$\")\n",
    "ax.set_ylabel(r\"$b_3$\")\n",
    "ax.set_title(r\"Simulated Joint Confidence Region of $\\beta_2$ and $\\beta_3$\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80a519c6-8633-4aa4-b013-817875273c94",
   "metadata": {},
   "source": [
    "From the plot, we can see that the distribution of $b_2$ include $0$, i.e. roughly in $[-6, 10]$, so in practice $b_2$ could have high chances to be insignificant, however $b_3$ is above $0$, we would expect $b_3$ to be highly significant. And also we can see the whole elliptic distribution is far away from origin $(0, 0)$, there even if $b_2$ is insignificant, the $F$-statistic will be exceedingly significant.\n",
    "\n",
    "Here is the report of last regression in the loop, we notice that $b_2$ is insignificant and $b_2$ and $F$-test is highly significant as we expected.\n",
    "\n",
    "This geometric view perfectly explains the $3$rd consequence of multicollinearity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9aba759c-9c12-4587-85b8-72c3369e7b38",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                      Y   R-squared:                       0.940\n",
      "Model:                            OLS   Adj. R-squared:                  0.935\n",
      "Method:                 Least Squares   F-statistic:                     210.8\n",
      "Date:                Tue, 03 Aug 2021   Prob (F-statistic):           3.33e-17\n",
      "Time:                        21:21:36   Log-Likelihood:                -176.49\n",
      "No. Observations:                  30   AIC:                             359.0\n",
      "Df Residuals:                      27   BIC:                             363.2\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const          2.1650     38.089      0.057      0.955     -75.986      80.316\n",
      "X2             2.7867      1.714      1.625      0.116      -0.731       6.305\n",
      "X3             0.9291      0.157      5.915      0.000       0.607       1.251\n",
      "==============================================================================\n",
      "Omnibus:                        0.515   Durbin-Watson:                   2.025\n",
      "Prob(Omnibus):                  0.773   Jarque-Bera (JB):                0.635\n",
      "Skew:                          -0.175   Prob(JB):                        0.728\n",
      "Kurtosis:                       2.379   Cond. No.                     1.44e+03\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 1.44e+03. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "print_model = model.summary()\n",
    "print(print_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66d37ce9-13f1-4c79-a379-9324894ba7be",
   "metadata": {},
   "source": [
    "The forth consequences suggests that the estimated results are highly sensitive to data, even a minor change of single data point can cause erratic results. Just take it as a fact, we'll not demonstrate for now."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eae1e0d2-3c2a-4645-bf25-d3b7e31eb25f",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> Detection of Multicollinearity</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3eabfd61-7b27-4730-b04a-8b593d7ac16e",
   "metadata": {},
   "source": [
    "Like we mentioned before, multicollinearity is a question of degree rather than presence, we only address the issue when it is so severe that interferes all the estimation results. Here are some rules help you to detect multicollinearity."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fca44d6c-b03a-47e5-972d-80087e9a6192",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> High $R^2$ but few significant $t$-statistic</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e701298-f1e2-44d5-98d4-dadbe902d1b7",
   "metadata": {},
   "source": [
    "We have seen why this is the case above, you should consider this possibility when very few $t$-test are significant."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "278b13ca-e9df-4cae-9617-91910f34acb9",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> High pairwise correlation</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d4ad012-f610-490f-84ab-dc9067a016f5",
   "metadata": {},
   "source": [
    "If there are more than $2$ independent variables, check their pairwise correlation. You can compute correlation coefficient matrix with ```pandas``` and visualize with ```seaborn```. Here's an example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e227f45d-88be-4ea0-a656-e70f12e47739",
   "metadata": {},
   "outputs": [],
   "source": [
    "n = 1000\n",
    "x1 = np.random.randn(n)\n",
    "x2 = np.random.rand(n)\n",
    "x3 = sp.stats.t.rvs(100, loc=0, scale=1, size=n)\n",
    "x4 = x2 * x1 - x3\n",
    "x5 = x2 / x3\n",
    "x6 = np.log(x2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4b5739e8-fbcb-4059-a1f0-fea7a83623ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x1</th>\n",
       "      <th>x2</th>\n",
       "      <th>x3</th>\n",
       "      <th>x4</th>\n",
       "      <th>x5</th>\n",
       "      <th>x6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>x1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.000078</td>\n",
       "      <td>-0.027519</td>\n",
       "      <td>0.466904</td>\n",
       "      <td>0.003358</td>\n",
       "      <td>0.001061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x2</th>\n",
       "      <td>-0.000078</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.045128</td>\n",
       "      <td>-0.047107</td>\n",
       "      <td>0.054698</td>\n",
       "      <td>0.868007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x3</th>\n",
       "      <td>-0.027519</td>\n",
       "      <td>0.045128</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.862179</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.043339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x4</th>\n",
       "      <td>0.466904</td>\n",
       "      <td>-0.047107</td>\n",
       "      <td>-0.862179</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.020987</td>\n",
       "      <td>-0.043987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x5</th>\n",
       "      <td>0.003358</td>\n",
       "      <td>0.054698</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>-0.020987</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.030701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x6</th>\n",
       "      <td>0.001061</td>\n",
       "      <td>0.868007</td>\n",
       "      <td>0.043339</td>\n",
       "      <td>-0.043987</td>\n",
       "      <td>0.030701</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          x1        x2        x3        x4        x5        x6\n",
       "x1  1.000000 -0.000078 -0.027519  0.466904  0.003358  0.001061\n",
       "x2 -0.000078  1.000000  0.045128 -0.047107  0.054698  0.868007\n",
       "x3 -0.027519  0.045128  1.000000 -0.862179  0.034624  0.043339\n",
       "x4  0.466904 -0.047107 -0.862179  1.000000 -0.020987 -0.043987\n",
       "x5  0.003358  0.054698  0.034624 -0.020987  1.000000  0.030701\n",
       "x6  0.001061  0.868007  0.043339 -0.043987  0.030701  1.000000"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame([x1, x2, x3, x4, x5, x6]).T\n",
    "df.columns = [\"x1\", \"x2\", \"x3\", \"x4\", \"x5\", \"x6\"]\n",
    "df.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34b548a0-6ffd-4686-8875-e813d2351e8a",
   "metadata": {},
   "source": [
    "Or color the correlation matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "62470363-b72d-4f7c-945a-b8065c759550",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df.corr(), annot=True, cmap=sns.diverging_palette(20, 220, n=200))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2eda0b9-9d75-49ed-889e-0abe54360e0b",
   "metadata": {},
   "source": [
    "Scatter plot is also a good choice for eyeballing the correlation. If you are not sure what it means to have high correlation, review Lecture 1's notes, we have demonstrated the difference between correlation and regression."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dbe40660-310a-430d-8705-f4387e07ad3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1088x1080 with 42 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.PairGrid(df)\n",
    "g.map_diag(sns.histplot)\n",
    "g.map_offdiag(sns.scatterplot)\n",
    "g.add_legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "320f3bb8-2675-437e-960e-bbec89855c5f",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> Eigenvalue and Condition Index</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "841126c4-6dcf-4e7e-8c87-78ef1990b5ff",
   "metadata": {},
   "source": [
    "If you are using ```statsmodel``` library for estimation, you probably have notices there is note at the bottom of reports.\n",
    "```\n",
    "[2] The condition number is large, 1.44e+03. This might indicate that there are\n",
    "strong multicollinearity or other numerical problems.\n",
    "```\n",
    "Once you see this note popped up, your sample is probably suffering from multicollinearity issue. But what is **condition  number**?\n",
    "\n",
    "This is concept from linear algebra, essentially any dataset is a matrix if no missing values, naturally it could have an inverse matrix. If two columns are numerically similar but not exactly the same, it's still possible to calculate an inverse but we call it **ill-conditioned**, the inverse matrix will be immensely sensitive to any perturbation of the elements, this is exactly the $4$th consequence we mentioned.\n",
    "\n",
    "To to specific, condition number is\n",
    "$$\n",
    "\\kappa(X)=\\frac{\\left|\\lambda_{\\max }(X)\\right|}{\\left|\\lambda_{\\min }(X)\\right|}\n",
    "$$\n",
    "where $\\lambda_{\\max }$ and $\\lambda_{\\min }$ are maximal and minimal eigenvalues of $X$, and $X$ is our dataset.\n",
    "\n",
    "Then we have this _rule of thumb_: If $100 <k< 1000$ there is moderate to strong multicollinearity and if $k>1000$ there is severe multicollinearity."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bc6b346-2c65-480a-9d09-1f7363919151",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> Remedy of Multicollinearity </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "164d17dd-7a8b-44cd-8044-36874565646f",
   "metadata": {},
   "source": [
    "There are two types methods when comes to handling the multicollinearity. If you ever have a chance, choose the first type."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a5dd12c-7a3f-488d-9323-861e0f81107c",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> Type I Method: Change the Sample</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66166916-17bc-4f7a-8e84-5f0d759871aa",
   "metadata": {},
   "source": [
    "The first type of method focusing on the solution provided by formula of standard error, for convenient demonstration, we will reproduce the standard error of two variable regression, but the ideas apply to all general cases. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0d7d6d5-bed0-4084-9629-9677b28cba07",
   "metadata": {},
   "source": [
    "<div style=\"background-color:Bisque; color:DarkBlue; padding:30px;\">\n",
    "Type I Method is focusing on formula of standard error, e.g.\n",
    "$$\n",
    "\\text { s.e. }\\left(b_{2}\\right)=\\sqrt{\\frac{s_{u}^{2}}{n \\operatorname{Var}\\left(X_{2}\\right)} \\times \\frac{1}{1-r_{X_{2}, X_{3}}^{2}}}\n",
    "$$\n",
    "1. Increase sample size<br>\n",
    "2. Increase variance of independent variables<br>\n",
    "3. Decrease the variance of disturbance term<br>\n",
    "i.e. find a better dataset, but most of time we don't have choices over available data, usually what we have are already the best choice. But the third one require some explanations, if you know by theory or some conjectures that certain independent variable $X$ should be included or excluded in the model, which might correct the certain level of **misspecification** and contracting $u$. \n",
    "</div> "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "102a7cf3-4ffe-4427-8ef5-7e5428352957",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> Type II Method: Manipulate the Data</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc1334c0-4c15-4500-a286-ecde2edc9fec",
   "metadata": {},
   "source": [
    "### <font face=\"gotham\" color=\"purple\"> Transformation of Data</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1db983c8-f541-4e04-be4c-94fb4c65ab80",
   "metadata": {},
   "source": [
    "The common method in time series model is **first order difference** which will be extensively used in time series chapter. If our time series model is \n",
    "$$\n",
    "Y_{t}=\\beta_{1}+\\beta_{2} X_{2 t}+\\beta_{3} X_{3 t}+u_{t}\n",
    "$$\n",
    "The first order difference is\n",
    "$$\n",
    "Y_{t}-Y_{t-1}=\\beta_{2}\\left(X_{2 t}-X_{2, t-1}\\right)+\\beta_{3}\\left(X_{3 t}-X_{3, t-1}\\right)+v_{t}\n",
    "$$\n",
    "where $v_t = u_t-u_{t-1}$.\n",
    "\n",
    "First-order difference only makes sense on time series data and $v_t$ will be probably autocorrelated that cause more problems than multicollinearity."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbe4ef64-6f1e-4e24-90f0-0df9aab0097a",
   "metadata": {},
   "source": [
    "Another is **ratio transformation**, if it makes sense to divide all variable by one of them, it could also lessen the issue. E.g. your model is \n",
    "$$\n",
    "Y_{t}=\\beta_{1}+\\beta_{2} X_{GDP, t}+\\beta_{3} X_{Pop, t}+u_{t}\n",
    "$$\n",
    "where $Y$ is house price, $X_{GDP, t}$ is the cities' GDP and $X_{Pop, t}$ is the population of cities. Apparently $X_{GDP, t}$ and $X_{Pop, t}$ are correlated, but they can be converted into GDP per capita, i.e.\n",
    "$$\n",
    "\\frac{Y_{t}}{X_{Pop, t}}=\\beta_{1}\\left(\\frac{1}{X_{Pop, t}}\\right)+\\beta_{2}\\left(\\frac{X_{2, t}}{X_{Pop, t}}\\right)+\\beta_{3}+\\left(\\frac{u_{t}}{X_{Pop, t}}\\right)\n",
    "$$\n",
    "The downside resides on $\\left(\\frac{u_{t}}{X_{Pop, t}}\\right)$, this term could be heteroscedastic, i.e. not constant disturbance term."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f025281-a9ce-4b7f-9d97-75821a5476e7",
   "metadata": {},
   "source": [
    "<div style=\"background-color:Bisque; color:DarkBlue; padding:30px;\">\n",
    "<b>Final Notes on Multicollinearity</b><br>\n",
    "There are other more complicated detection methods and remedies for multicollinearity that we have total omitted such as auxiliary regression with Klein's criterion, variance inflation factor, a priori model specification and etc. However, remember that multicollinearity doesn't have to be handled even if there are many remedial techniques available, feel free to do nothing about it. \n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54e0f121-39ab-436f-b7fe-5f4999aedf57",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> Heteroscedasticity </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f845963-d693-4998-a611-066437d626d6",
   "metadata": {},
   "source": [
    "In chapter $1$, we specified Gauss-Markov Conditions for classical linear regression model (CLRM), one of them is \n",
    "$E(u_i^2)= \\sigma^2$ for all $i$. Once this condition is violated, the **heteroscedasticity** issue presents.\n",
    "\n",
    "It could arise from assortment of reasons, but heteroscedasticity mostly arises in cross-sectional data and rarely in time series data. As a matter of fact, we should expect to see this issue whenever the sample contains heterogeneous units such as individuals, families or firms.\n",
    "\n",
    "For instance, we would like to know the ratio of consumption to family income, though in theory the higher the income the lower the consumption rate (higher saving rate), but there will always be some wealthier families consume more then average, simply because they can. So this can cause the heteroscedasticity among observations.\n",
    "\n",
    "Here is a simulation of heteroscedasticity, variance of disturbance term increases as $X$ increases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71203511-d8fd-4ab4-b0ef-e8e25125938a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "u = np.random.randn(1000)\n",
    "X = np.arange(1, 1001)\n",
    "Y = 4 + 3 * X + X * u\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "ax.scatter(X, Y, s=10)\n",
    "reg_results = sp.stats.linregress(X, Y)\n",
    "Y_fitted = reg_results[1] + X * reg_results[0]\n",
    "ax.plot(X, Y_fitted, color=\"tomato\", lw=3, zorder=0)\n",
    "ax.set_title(\"Heteroscedasticity Illustration\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b997f16-6344-4ff9-8b43-39ebcc649138",
   "metadata": {},
   "source": [
    "<div style=\"background-color:Bisque; color:DarkBlue; padding:30px;\">\n",
    "<b>The Fact of Heteroscedasticity Without Proof:</b><br>\n",
    "Heteroscedasticity doesn't cause <i>unbiased</i> and <i>inconsistency</i>, but it renders OLS estimator <i>inefficient</i>, which means given the same amount of data, there will be other estimation methods other than OLS possessing smaller variances of estimated coefficients. In other words, the OLS will not be a <i>Best Linear Unbiased Estimator</i> (BLUE) when data is plagued with heteroscedasticity. \n",
    "</div>\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9dd5ddb-dfb0-4f6c-bcff-6912b0198589",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> How To Detect Heteroscedasticity </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a130a78-c1ac-49d3-8bf2-8dc2f8ce2a4d",
   "metadata": {},
   "source": [
    "You might think it's blatantly obvious to detect heteroscedasticity just like the graph above. Social science data or economic data are much sparse than data from other sciences, it wouldn't be so easy to determine whether a dataset is heteroscedastic by eyeballing. In economic studies, we usually have only one observation of $Y$ corresponding to a particular value of $X$, therefore detecting heteroscedasticity also requires guesswork and prior empirical experiences.\n",
    "\n",
    "Also similar to multicollinearity, heteroscedasticity is more a matter of degree rather than presence or not.\n",
    "\n",
    "Because most of time we are unable to access the information of population disturbance term, so the methods of detection are based on the residuals $e$ since they are the ones we observe."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38c55b99-21ae-47c8-a12e-c927ac92718a",
   "metadata": {},
   "source": [
    "### <font face=\"gotham\" color=\"purple\"> Graphical Method </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb7be602-1c65-4470-86f1-90a7c6abf861",
   "metadata": {},
   "source": [
    "Most straightforward method is to plot $e$ against one of $X$. For instance, we can use the same simulated data and plot residual $e$ against independent variable $X$. Though residuals are not the same as disturbance term, they can be used as proxies given the sample size is large enough."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "094f285b-590f-4855-a008-9af75153c0e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "resid = Y - Y_fitted\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "ax.grid()\n",
    "ax.scatter(X, resid)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf275747-e329-4eb0-9b3c-d68054b524ed",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> Statistical Methods </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7b8db9e-cc8a-4a70-9558-18ab241d8f5e",
   "metadata": {},
   "source": [
    "Some statistical tests will help determine if the data has heteroscedastic issue."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86c1b4ad-8476-4912-89d4-e9d13ae08ff3",
   "metadata": {},
   "source": [
    "### <font face=\"gotham\" color=\"purple\">Goldfeld–Quandt Test </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fd5c2be-932d-4b77-a668-b7c9b67e581e",
   "metadata": {},
   "source": [
    "Goldfeld-Quandt test is the most popular test for heteroscedasticity, the test assumes the $\\sigma_{u_i}$ is proportional (or inversely) to $X$. The test sorts the sample by the magnitude of $X$, then run two separate regressions with first $n'$ and last $n'$ observations, and denote the residual sums of squares $RSS_1$ and $RSS_2$ respectively, the rest of $n-2n'$ observations are dropped. The rule of thumb is \n",
    "$$\n",
    "n' = \\frac{3n}{8}\n",
    "$$\n",
    "Hypotheses are\n",
    "$$\n",
    "H_0: \\text{$RSS_2$ is not significantly larger (smaller) than $RSS_1$}\\\\\n",
    "H_1: \\text{$RSS_2$ is significantly larger (smaller) than $RSS_1$}\n",
    "$$\n",
    "The test statistic $\\frac{RSS_2}{RSS_1}$ has $F$-distribution with $(n'-k)$ and $(n'-k)$ degree of freedom. Here's a demonstration of G-Q test, dots with different colors are different groups, two subregressions are done with its regression line accordingly. Though it might not be obvious to notice, two regression lines have different slopes, that means heteroskedascity might lead on unreliable estimations. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2c220f88-a4ad-4d17-9d82-90f6216245dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "\n",
    "n_apos = round(3 / 8 * len(Y))\n",
    "\n",
    "ax.scatter(X[0:n_apos], Y[0:n_apos], s=8)\n",
    "reg_result_1 = sp.stats.linregress(X[0:n_apos], Y[0:n_apos])\n",
    "Y_fitted = reg_result_1[1] + X[0:n_apos] * reg_result_1[0]\n",
    "ax.plot(X[0:n_apos], Y_fitted, color=\"tomato\", lw=3, zorder=4)\n",
    "\n",
    "ax.scatter(X[-n_apos:], Y[-n_apos:], s=8)\n",
    "reg_result_2 = sp.stats.linregress(X[-n_apos:], Y[-n_apos:])\n",
    "Y_fitted = reg_result_2[1] + X[-n_apos:] * reg_result_2[0]\n",
    "ax.plot(X[-n_apos:], Y_fitted, color=\"purple\", lw=3, zorder=4)\n",
    "\n",
    "ax.set_title(\"Demonstration of Goldfeld-Quandt Test\")\n",
    "ax.scatter(\n",
    "    X[round(3 / 8 * len(Y)) : -round(3 / 8 * len(Y))],\n",
    "    Y[round(3 / 8 * len(Y)) : -round(3 / 8 * len(Y)) :],\n",
    "    alpha=0.3,\n",
    "    s=8,\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c42805e-4cec-4c33-9640-78f5d9043967",
   "metadata": {},
   "source": [
    "### <font face=\"gotham\" color=\"purple\">Breusch–Pagan–Godfrey Test</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c10235c0-7ea7-4559-a979-060707925dc9",
   "metadata": {},
   "source": [
    "The problem of G-Q test is that depends on correctly identification of $X$, i.e. you need to know which know which $X$ disturbance term is proportional to. It's straightforward in simple linear regression, but you will have to try with every independent variable in multiple regression. But Breusch-Pagan-Godfrey test is more general, here is how we perform B-P-G test, consider the $k$-variable model \n",
    "$$\n",
    "Y_{i}=\\beta_{1}+\\beta_{2} X_{2 i}+\\cdots+\\beta_{k} X_{k i}+u_{i}\n",
    "$$\n",
    "1. Estimate the model with OLS\n",
    "2. Obtain estimated variance of disturbance term with $\\hat{\\sigma}^2=\\frac{1}{n}\\sum_{i=1}^ne_i^2$, where $e_i$'s are residuals.\n",
    "3. Construct an auxiliary regression, where $m\\leq k$\n",
    "$$\n",
    "\\frac{e_i^2}{\\hat{\\sigma}^2}=\\alpha_{1}+\\alpha_{2} Z_{2 i}+\\cdots+\\alpha_{m} Z_{m i}+v_{i}\n",
    "$$\n",
    "4. Obtain $ESS$, define a statistic\n",
    "$$\n",
    "\\frac{ESS}{2}\\sim \\chi_{m-1}^2\n",
    "$$\n",
    "\n",
    "We reject the null hypothesis of homoskedasticity if computed $\\frac{ESS}{2}$ is larger than critical $\\chi^2$ value at the chosen level of significance. B-P-G test replies on normality assumption of disturbance term, so you can test if residuals has approximately normal distribution or not. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47091431-0405-4e62-8d2f-23e9b7441ff6",
   "metadata": {},
   "source": [
    "### <font face=\"gotham\" color=\"purple\">White’s General Heteroscedasticity Test</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4d94475-8842-4bfa-82e9-02f522a98411",
   "metadata": {},
   "source": [
    "The most general test is White's Test, consider a two independent variables regression\n",
    "$$\n",
    "Y_{i}=\\beta_{1}+\\beta_{2} X_{2 i}+\\beta_{3} X_{3 i}+u_{i}\n",
    "$$\n",
    "1. Estimate the model above with OLS, obtain the residuals.\n",
    "2. Run auxiliary regression\n",
    "$$\n",
    "e_{i}^{2}=\\alpha_{1}+\\alpha_{2} X_{2 i}+\\alpha_{3} X_{3 i}+\\alpha_{4} X_{2 i}^{2}+\\alpha_{5} X_{3 i}^{2}+\\alpha_{6} X_{2 i} X_{3 i}+v_{i}\n",
    "$$\n",
    "3. Obtain $R^2$, construct test statistic, $k$ is the number of independent variables\n",
    "$$\n",
    "nR^2\\sim \\chi_k^2\n",
    "$$\n",
    "4. Hypotheses are\n",
    "$$\n",
    "H_0:  \\alpha_2 = \\alpha_3 =\\alpha_4=\\alpha_5=\\alpha_6=0\\\\\n",
    "H_1:  \\text{any of $\\alpha_i$'s isn't $0$}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "736dc48f-98d1-493b-8407-62661c25ca36",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> Remedies to Heteroscedasticity </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa3aa19b-2668-4ee1-9211-28958761b547",
   "metadata": {},
   "source": [
    "If $\\sigma_i^2$ is known, **weighted least square** (WLS) is the best choice, i.e. divide $\\sigma_i$ on both sides of the model, which can correct the heteroscedasticity and estimator will be BLUE. However $\\sigma_i^2$ is rarely known, we won't even bother to discuss this situation. \n",
    "\n",
    "If we don't know the $\\sigma_i^2$ and suspect heteroscedasticity, you can invoke a **White Robust Standard Errors**. If the difference is large comparing with OLS standard errors, we should routinely prefer to results with robust standard errors. If you estimate with statsmodel library, the OLS object has a property for robust standard error ```model.HC0_se```\n",
    "\n",
    "However, there are also possibilities of mending heteroscedasticity with model specification, which is based on your assumption of variable relations. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c81ca079-1a2d-4231-9c08-31edb739acfa",
   "metadata": {},
   "source": [
    "### <font face=\"gotham\" color=\"purple\"> Weighted Least Squares </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "858d6ae6-2d9b-417b-b371-69ee433c6027",
   "metadata": {},
   "source": [
    "To be added...."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "117242eb-84c1-44db-bc11-9519021e4f71",
   "metadata": {},
   "source": [
    "### <font face=\"gotham\" color=\"purple\"> Function Relationship </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d66093c3-2584-4f21-9168-78b12a045567",
   "metadata": {},
   "source": [
    "If we assume the disturbance term has a function relationship with variables, i.e.\n",
    "$$\n",
    "E(u_i^2) = \\sigma^2 f(X_i) \\qquad\\text{ or } \\qquad  E(u_i^2) = \\sigma^2 f(Y_i)\n",
    "$$\n",
    "Suppose we are dealing with simple linear regression model\n",
    "$$\n",
    "Y_i = \\beta_1 +\\beta_2 X_i + u_i\n",
    "$$\n",
    "To eliminate the heteroscedasiticity given the known function form, we divide both sides by $g(f(x))$\n",
    "$$\n",
    "\\frac{Y_i}{g(f(X_i))}=\\frac{\\beta_1}{g(f(X_i))}+\\frac{\\beta_2 X_i}{g(f(X_i))}+\\frac{u_i}{g(f(X_i))}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4859d95-9a87-47fc-8644-befce81cbc49",
   "metadata": {},
   "source": [
    "What we want is to achieve\n",
    "$$\n",
    "E\\bigg(\\frac{u_i}{g(f(X_i))}\\bigg)^2=\\sigma^2\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d75501a-d287-40a8-8593-d69eb20bf55b",
   "metadata": {},
   "source": [
    "Thus if $f(X_i)=X_i^2$, then $g(\\cdot)$ is the inverse of $f(\\cdot)$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e04571db-8b04-4563-ad92-12b1c94b8087",
   "metadata": {},
   "source": [
    "### <font face=\"gotham\" color=\"purple\"> Log Transformation </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77e0232a-1ea3-4fc1-afe6-076781f6f39b",
   "metadata": {},
   "source": [
    "Log transformation can largely contain the heteroscedasticity, because it compresses the scales. In the chart below we have plotted both $Y_i= \\beta_1+\\beta_2X_i+u_i$ and $ln{Y_i}= \\beta_1+\\beta_2\\ln{X_i}+u_i$, the scales of latter are heavily compressed, for instance, $6000$ is $6$ times of $1000$, but $\\ln{6000}\\approx 8.7$ is only $.26$ times higher than $\\ln{1000}\\approx 6.9$. This is the exact mathematical reason why log transformation can treat heteroscedasticity. \n",
    "\n",
    "However, the log operation will be invalid with negative numbers, that's why the chart below might have error messages _'invalid value encountered in log'_."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ddd20d49-1673-4de1-ae1b-8dd4cbb8f428",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-62-a14a11757e74>:8: RuntimeWarning: invalid value encountered in log\n",
      "  ax[1].scatter(np.log(X), np.log(Y), color = 'tomato')\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=(12, 15))\n",
    "ax[0].scatter(X, Y)\n",
    "ax[0].grid()\n",
    "ax[0].set_title(r\"$Y_i= \\beta_1+\\beta_2X_i+u_i$\")\n",
    "ax[0].set_xlabel(\"$X$\")\n",
    "ax[0].set_ylabel(\"$Y$\")\n",
    "\n",
    "ax[1].scatter(np.log(X), np.log(Y), color=\"tomato\")\n",
    "ax[1].grid()\n",
    "ax[1].set_title(r\"$ln{Y_i}= \\beta_1+\\beta_2\\ln{X_i}+u_i$\")\n",
    "ax[1].set_xlabel(\"$\\ln{X}$\")\n",
    "ax[1].set_ylabel(\"$\\ln{Y}$\")\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}