{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Keane and Wolpin (1997)\n", "**Parameter Estimation via the Method of Simulated Moments (MSM)**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In their seminal paper on the career decisions of young men, Keane and Wolpin (1997) estimate a life-cycle model for occupational choice based on NLSY data for young white men. The paper contains a basic and an extended specification of the model. Both models allow for five choice alternatives in each period: white collar sector work, blue collar sector work, military work, school, and staying home. Choice options come with pecuniary and/or non-pecuniary rewards. Agents are assumed to be forward-looking and act under uncertainty because of the occurrence of alternative-specific shocks that affect the current reward of alternatives and only become known to individuals in the period they occur in. Individuals thus form expectations about future shocks and in each period choose the option that maximizes the expected present value of current and future lifetime rewards.\n", "\n", "The extended model compared to the base specification expands the model by introducing more complex skill technology functions that for example allow for skill depreciation and age effects, job mobility and search costs, non-pecuniary rewards for work, re-entry costs for school, and some common returns for school." ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/html" }, "source": [ "
\n", " Explanations\n", "\n", " For extensive model description see The Economic Model.\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`respy` is able to solve, simulate, and estimate both model specifications. Within `respy`, they are referred to as `kw_97_basic` and `kw_97_extended`. However, using the parameters from the paper, `respy` returns life-cycle patterns that differ from the ones presented in the paper, prompting us to re-estimate them using the Method of Simulated Moments (MSM). The model specification can be loaded using the function `get_example_model` as demonstrated below. The returned parameter vector contains the estimated parameters from the paper and the returned DataFrame contains the 'observed' NLSY data." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:49:38.995550Z", "start_time": "2020-07-26T21:49:35.827612Z" } }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import respy as rp\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:49:39.106833Z", "start_time": "2020-07-26T21:49:38.997057Z" } }, "outputs": [], "source": [ "params_basic_kw, options, data_obs = rp.get_example_model(\"kw_97_basic\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Choice patterns and Rewards for Parameters in `kw_97_basic`\n", "\n", "To investigate the parameter specification presented for the basic model in Keane and Wolpin (1997), we will look at the choice frequencies in each period and compare them to the observed data. While the NLSY data is only observed for the first 11 years, the models can be used to predict choices over the entire work life of agents. The standard time horizon in `kw_97_basic` is 50 periods since Keane and Wolpin (1997) fix the terminal age to 65 with individuals entering the sample at age 15. We will thus inspect how well the model generated by the parameters can fit the observed data, as well as the predictions it makes for the rest of the life-cycle." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Choice Patterns\n", "\n", "As a first step, we will look at the choices of agents over time. To do this, we can simulate data based on the parameters from `kw_97_basic` and compute the choice frequencies in each period. We then plot them against the observed choices." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:40.716966Z", "start_time": "2020-07-26T21:49:39.178472Z" } }, "outputs": [], "source": [ "simulate = rp.get_simulate_func(params_basic_kw, options)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "data_sim_kw = simulate(params_basic_kw)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:40.736832Z", "start_time": "2020-07-26T21:50:40.718258Z" } }, "outputs": [], "source": [ "def calc_choice_frequencies(df):\n", " \"\"\"Compute choice frequencies.\"\"\"\n", " return df.groupby(\"Period\").Choice.value_counts(normalize=True).unstack()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:40.762306Z", "start_time": "2020-07-26T21:50:40.738577Z" } }, "outputs": [], "source": [ "choices_obs = calc_choice_frequencies(data_obs)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:40.828059Z", "start_time": "2020-07-26T21:50:40.765357Z" } }, "outputs": [], "source": [ "choices_obs = calc_choice_frequencies(data_obs)\n", "choices_kw = calc_choice_frequencies(data_sim_kw)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:40.850320Z", "start_time": "2020-07-26T21:50:40.829825Z" } }, "outputs": [], "source": [ "def plot_moments(moments_obs, moments_sim, labels, colors):\n", " \"\"\"Plot moments.\"\"\"\n", " plt.figure(figsize=(14, 4))\n", " for i, (label, color) in enumerate(zip(labels, colors)):\n", " plt.subplot(1, 5, i + 1)\n", " plt.tight_layout()\n", " plt.title(label.capitalize())\n", " plt.xlabel(\"Period\")\n", " plt.plot(moments_sim[label], color=color)\n", " plt.plot(moments_obs[label], color=\"black\", linestyle=\"dashed\")\n", " plt.ylim(0, 1)\n", " plt.xlim(0, 50)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:40.877068Z", "start_time": "2020-07-26T21:50:40.852282Z" } }, "outputs": [], "source": [ "choices = [\"blue_collar\", \"white_collar\", \"school\", \"home\", \"military\"]\n", "colors = [\"tab:blue\", \"tab:orange\", \"tab:green\", \"tab:red\", \"tab:purple\"]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The plots below show the choice frequencies of individuals for the five different choice alternatives. The colored lines represent the simulated dataset while the black dotted lines show the choices observed in the NLSY data. The simulated data does not seem to fit the observed data very well. The percentage of individuals choosing the white collar occupation is too high while all other choices are very underrepresented in the simulated data. " ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:41.592039Z", "start_time": "2020-07-26T21:50:40.878557Z" }, "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_moments(\n", " moments_obs=choices_obs, moments_sim=choices_kw, labels=choices, colors=colors,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Experience-Wage Profiles over the Life-Cycle \n", "\n", "As a next step, we will inspect the experience-wage profiles suggested by the model. The function below computes the wages of a skill **type 0** individual (skill endowment types are a source of heterogeneity between individuals in the model) with **10 years of schooling** for the given wage parameters if they enter an occupation in period 0 and stay in that occupation for their entire life-cycle." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:41.624251Z", "start_time": "2020-07-26T21:50:41.594734Z" } }, "outputs": [], "source": [ "def get_experience_profile(params, options, occupation):\n", "\n", " # To fix ideas we look at a Type 0 individual with 10 years of schooling\n", " # who immediately starts to work in the labor market.\n", " covars = [1, 10, 0, 0, 0, 0, 0, 0, 0]\n", "\n", " wages = list()\n", " for period in range(options[\"n_periods\"]):\n", " if occupation == \"blue_collar\":\n", " covars[3] = period\n", " covars[4] = period ** 2 / 100\n", " elif occupation == \"white_collar\":\n", " covars[2] = period\n", " covars[3] = period ** 2 / 100\n", "\n", " wage = np.exp(np.dot(covars, params.loc[f\"wage_{occupation}\", \"value\"]))\n", " wages.append(wage)\n", "\n", " return wages" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:41.653973Z", "start_time": "2020-07-26T21:50:41.627323Z" } }, "outputs": [], "source": [ "def plot_experience_profiles(params, options):\n", "\n", " colors = [\"tab:blue\", \"tab:orange\"]\n", " occupations = [\"blue_collar\", \"white_collar\"]\n", "\n", " fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n", " for i, (label, color) in enumerate(zip(occupations, colors)):\n", " wage_profile = get_experience_profile(params, options, label)\n", " ax[i].plot(range(options[\"n_periods\"]), wage_profile, color=color)\n", " ax[i].set_xlabel(\"Experience in Periods\")\n", " ax[i].set_ylabel(\"Wages\")\n", " ax[i].set_title(label)\n", " plt.tight_layout()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can then plot the wage-experience profiles of the three occupations. The wage profiles do not seem very realistic, as especially the white collar occupation sees unlimited wage growth into the millions. The curve is missing the characteristic flattening (slowed and sometimes even negative wage growth) in later stages of life that is well documented in the life-cycle wage literature (Heckman et al., 2006).\n", "\n", "The military option is purposely left out in this plot since the low number of observations in the NLSY data for this occupation does not allow for the construction of an appropriate experience-wage profile." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:42.057940Z", "start_time": "2020-07-26T21:50:41.655344Z" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_experience_profiles(params_basic_kw, options)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since this flattening characteristic is controlled by the exponential term in the wage equation, we can see if adjusting this parameter improves the wage profile for the white collar occupation. The parameter specification in the paper gives this parameter a value of -0.0461. We will choose a smaller value in an attempt to flatten the curve in later periods." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:42.079329Z", "start_time": "2020-07-26T21:50:42.059176Z" } }, "outputs": [], "source": [ "params_new = params_basic_kw.copy()\n", "params_new.loc[(\"wage_white_collar\", \"exp_white_collar_square\"), \"value\"] = -0.15" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As the plots below show, the new value for `(wage_white_collar, exp_white_collar_square)` produces a more realistic wage profile and wage for the white collar occupation:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:50:42.464947Z", "start_time": "2020-07-26T21:50:42.081172Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_experience_profiles(params_new, options)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Estimation of the Basic Model\n", "\n", "Since there seems to be a possibility of improvements, we attempt to estimate the parameters via MSM to improve the fit. The estimation setup for MSM follows the pattern already established in other articles of this documentation. For the estimation we use moments that capture the choice frequencies for each period and mean wages as well as their standard deviation. The weighting matrix used is a diagonal inverse variance weighting matrix. Interested readers can refer to the guides below for more information on MSM estimation with `respy`." ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/html" }, "source": [ "
\n", " How-to-Guide\n", "\n", " For extensive model description see How to Specify a Criterion Function for MSM.\n", "
" ] }, { "cell_type": "raw", "metadata": { "raw_mimetype": "text/html" }, "source": [ "
\n", " How-to-Guide\n", "\n", " Find out more about estimation in How to Estimate Model Parameters with MSM.\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Choice Patterns\n", "\n", "We will first investigate the choice patterns of individuals over the 11 observed periods and the predicted choices in later periods. The plot below shows the choice frequencies for the observed data and simulated data for the specification in Keane and Wolpin (1997) and our estimates respectively in a stacked area plot. The newly estimated parameters are named with the suffix `_respy`." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "params_basic_respy, _, _ = rp.get_example_model(\"kw_97_basic_respy\")" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:52:45.247097Z", "start_time": "2020-07-26T21:52:06.529471Z" } }, "outputs": [], "source": [ "data_sim_new = simulate(params_basic_respy)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:52:45.772966Z", "start_time": "2020-07-26T21:52:45.248368Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(15, 5))\n", "calc_choice_frequencies(data_sim_kw)[choices].plot(\n", " kind=\"area\",\n", " stacked=True,\n", " ax=axes[0],\n", " xlim=[0, 11],\n", " title=\"Simulated Choices KW 97\",\n", " linewidth=0.1,\n", ")\n", "calc_choice_frequencies(data_obs)[choices].plot(\n", " kind=\"area\", stacked=True, ax=axes[1], title=\"Observed Choices\", linewidth=0.1\n", ")\n", "calc_choice_frequencies(data_sim_new)[choices].plot(\n", " kind=\"area\",\n", " stacked=True,\n", " ax=axes[2],\n", " xlim=[0, 11],\n", " title=\"Simulated Choices New Estimates\",\n", " linewidth=0.1,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plotting the choices separately against their observed counterpart also reveals a much better fit." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:52:45.835446Z", "start_time": "2020-07-26T21:52:45.774428Z" } }, "outputs": [], "source": [ "choices_new = calc_choice_frequencies(data_sim_new)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:52:46.549599Z", "start_time": "2020-07-26T21:52:45.837013Z" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_moments(\n", " moments_obs=choices_obs, moments_sim=choices_new, labels=choices, colors=colors,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Experience-Wage Profiles\n", "\n", "The wage profiles have attained a more realistic shape although the earned wages in later periods are still unreasonably high. These problems in wage growth are similar to the ones shown by Keane and Wolpin (1997) for the basic specification and give way to the expanded model, which promises a more reasonable development of life-cycle wages." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:52:46.961788Z", "start_time": "2020-07-26T21:52:46.551862Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_experience_profiles(params_new, options)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Estimation of the Extended Model\n", "\n", "In addition to the basic model parameters, we also re-estimate the extended model specified in Keane and Wolpin (1997). Since the parameter space for this model is much larger than the basic specification, we expand the number of moments used for estimation. The new sets of moments used are conditional on the period and initial level of schooling of individuals. Specifically, we compute the choice frequencies and wage statistics for two initial schooling groups: those with up to 9 years of schooling at age 16 and those with 10 years or more. Furthermore, the moments for the wage distribution are expanded to include the median and 25% as well as 75% percentile for each initial schooling group in each period. \n", "\n", "The plots below show the choice frequencies for the parameters from the paper and the newly estimated parameters. While the fit seems much better for the newly estimated parameters, the choice patterns they suggest over the life-cycle in some cases are a bit more extreme than the ones presented in Keane and Wolpin (1997), especially for the blue and white collar occupations.\n", "\n", "This is not necessarily surprising as the model is fit on only 11 years of data, while the extrapolation is applied to 50 periods. Multiple other parameter estimates (not shown here) with a similar within-sample fit predict very different choice patterns over the life-cycle. **The parameters presented here should thus be used and interpreted with caution.**" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "params_extended_kw, options_extended, _ = rp.get_example_model(\"kw_97_extended\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "simulate_extended = rp.get_simulate_func(params_extended_kw, options_extended)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "data_sim_extended_kw = simulate_extended(params_extended_kw)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Choice Frequencies for Extended Parametrization from Keane and Wolpin (1997)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:53:37.587215Z", "start_time": "2020-07-26T21:53:36.059344Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "choices_extended_kw = calc_choice_frequencies(data_sim_extended_kw)\n", "plot_moments(\n", " moments_obs=choices_obs, moments_sim=choices_extended_kw, labels=choices, colors=colors,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Choice Frequencies for Estimated Extended Parameters" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "params_extended_respy, _, _ = rp.get_example_model(\"kw_97_extended_respy\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "data_sim_extended_respy = simulate_extended(params_extended_respy)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2020-07-26T21:53:45.636582Z", "start_time": "2020-07-26T21:53:44.106736Z" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "choices_extended_respy = calc_choice_frequencies(data_sim_extended_respy)\n", "plot_moments(\n", " moments_obs=choices_obs, moments_sim=choices_extended_respy, labels=choices, colors=colors,\n", ")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## References" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- Heckman, J. J., Lochner, L. J., & Todd, P. E. (2006). [Earnings functions, rates of return and treatment effects: The Mincer equation and beyond](https://www.sciencedirect.com/science/article/pii/S1574069206010075). In Hanushek, E. & Welch, F., editors, *Handbook of the Economics of Education*, volume 1, pages 307–458. Elsevier Science, Amsterdam, Netherlands.\n", "\n", "- Keane, M. P. and Wolpin, K. I. (1997). [The Career Decisions of Young Men](https://www.jstor.org/stable/10.1086/262080?seq=1). *Journal of Political Economy*, 105(3): 473-522." ] } ], "metadata": { "celltoolbar": "Raw Cell Format", "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": "3.8.3" } }, "nbformat": 4, "nbformat_minor": 4 }