{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Causal Impact\n",
"=============\n",
"\n",
"A Python package for causal inference using Bayesian structural time-series models. It's a port of the R package CausalImpact, see https://github.com/google/CausalImpact.\n",
" \n",
"### What does the package do?\n",
"This package implements an approach to estimating the causal effect of a designed intervention on a time series. For example, how many additional daily clicks were generated by an advertising campaign? Answering a question like this can be difficult when a randomized experiment is not available.\n",
"\n",
"### How does it work?\n",
"Given a response time series (e.g., clicks) and a set of control time series (e.g., clicks in non-affected markets or clicks on other sites), the package constructs a Bayesian structural time-series model. This model is then used to try and predict the counterfactual, i.e., how the response metric would have evolved after the intervention if the intervention had never occurred. For details, see: [Brodersen et al., Annals of Applied Statistics (2015)](http://research.google.com/pubs/pub41854.html).\n",
"\n",
"### What assumptions does the model make?\n",
"As with all non-experimental approaches to causal inference, valid conclusions require strong assumptions. In the case of CausalImpact, we assume that there is a set control time series that were *themselves not affected by the intervention.* If they were, we might falsely under- or overestimate the true effect. Or we might falsely conclude that there was an effect even though in reality there wasn't. The model also assumes that the relationship between covariates and treated time series, as established during the pre-period, remains stable throughout the post-period (see `impact.model_args[\"dynamic_regression\"]` for a way of relaxing this assumption). Finally, it's important to be aware of the *priors* that are part of the model (see `impact.model_args[\"prior_level_sd\"]` in particular).\n",
"\n",
"### How is the package structured?\n",
"The package is designed to make counterfactual inference as easy as fitting a regression model, but much more powerful, provided the assumptions above are met. The package has a single entry point, the function `CausalImpact()`. Given a response time series and a set of control time series, the function constructs a time-series model, performs posterior inference on the counterfactual, and returns a `CausalImpact` object. The results can be summarized in terms of a table, a verbal description, or a plot.\n",
"\n",
"\n",
"### 1. Installing the package\n",
"\n",
"To install `causalimpact` run:"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {},
"outputs": [],
"source": [
"# !pip install git+https://github.com/jamalsenouci/causalimpact.git"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Once installed, the package can be imported using:"
]
},
{
"cell_type": "code",
"execution_count": 114,
"metadata": {},
"outputs": [],
"source": [
"from causalimpact import CausalImpact"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 2. Creating an example dataset\n",
"\n",
"To illustrate how the package works, we create a simple toy dataset. It consists of a response variable `y` and a predictor `x1`. Note that in practice, we'd strive for including many more predictor variables and let the model choose an appropriate subset. The example data has 100 observations. We create an *intervention effect* by lifting the response variable by 10 units after timepoint 71.\n"
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from statsmodels.tsa.arima_process import arma_generate_sample\n",
"import matplotlib\n",
"%matplotlib inline\n",
"matplotlib.rcParams['figure.figsize'] = (15, 6)\n",
"\n",
"np.random.seed(1)\n",
"\n",
"x1 = arma_generate_sample(ar=[0.999], ma=[0.9], nsample=100) + 100\n",
"y = 1.2 * x1 + np.random.randn(100)\n",
"\n",
"y[71:100] = y[71:100] + 10\n",
"data = pd.DataFrame(np.array([y, x1]).T, columns=[\"y\",\"x1\"])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We now have a simple matrix with 100 rows and two columns:"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"data.plot();"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 3. Running an Analysis\n",
"\n",
"To estimate the causal effect, we begin by specifying which period in the data should be used for training the model (pre-intervention period) and which period for computing a counterfactual prediction (post-intervention period)."
]
},
{
"cell_type": "code",
"execution_count": 118,
"metadata": {},
"outputs": [],
"source": [
"pre_period = [0,69]\n",
"post_period = [71,99]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This says that time points 0...70 will be used for training, and time points 71...99 will be used for computing predictions. Alternatively, we could specify the periods in terms of dates or time points; see Section 5 for an example.\n",
"\n",
"To perform inference, we run the analysis using:"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"impact = CausalImpact(data, pre_period, post_period)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This initialises a `CausalImpact` object"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"RUNNING THE L-BFGS-B CODE\n",
"\n",
" * * *\n",
"\n",
"Machine precision = 2.220D-16\n",
" N = 3 M = 10\n",
"\n",
"At X0 0 variables are exactly at the bounds\n",
"\n",
"At iterate 0 f= 1.06685D+00 |proj g|= 4.25552D-01\n",
"\n",
"At iterate 5 f= 9.89784D-01 |proj g|= 2.23487D-03\n",
"\n",
" * * *\n",
"\n",
"Tit = total number of iterations\n",
"Tnf = total number of function evaluations\n",
"Tnint = total number of segments explored during Cauchy searches\n",
"Skip = number of BFGS updates skipped\n",
"Nact = number of active bounds at final generalized Cauchy point\n",
"Projg = norm of the final projected gradient\n",
"F = final function value\n",
"\n",
" * * *\n",
"\n",
" N Tit Tnf Tnint Skip Nact Projg F\n",
" 3 7 10 1 0 0 4.157D-05 9.898D-01\n",
" F = 0.98978278136724052 \n",
"\n",
"CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" This problem is unconstrained.\n"
]
}
],
"source": [
"impact.run()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This instructs the package to assemble a structural time-series model, fit the model using MLE by default, and compute estimates \n",
"of the causal effect. We can view the results in a dataframe as follows:"
]
},
{
"cell_type": "code",
"execution_count": 121,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"
Unobserved Components Results
\n",
"
\n",
"
Dep. Variable:
y
No. Observations:
70
\n",
"
\n",
"
\n",
"
Model:
local level
Log Likelihood
-69.285
\n",
"
\n",
"
\n",
"
Date:
Sat, 30 Apr 2022
AIC
144.570
\n",
"
\n",
"
\n",
"
Time:
21:21:51
BIC
151.272
\n",
"
\n",
"
\n",
"
Sample:
0
HQIC
147.229
\n",
"
\n",
"
\n",
"
- 70
\n",
"
\n",
"
\n",
"
Covariance Type:
opg
\n",
"
\n",
"
\n",
"
\n",
"
\n",
"
coef
std err
z
P>|z|
[0.025
0.975]
\n",
"
\n",
"
\n",
"
sigma2.irregular
0.4102
0.072
5.668
0.000
0.268
0.552
\n",
"
\n",
"
\n",
"
sigma2.level
4.655e-11
0.003
1.64e-08
1.000
-0.006
0.006
\n",
"
\n",
"
\n",
"
beta.x1
0.7718
0.076
10.221
0.000
0.624
0.920
\n",
"
\n",
"
\n",
"
\n",
"
\n",
"
Ljung-Box (L1) (Q):
1.72
Jarque-Bera (JB):
0.40
\n",
"
\n",
"
\n",
"
Prob(Q):
0.19
Prob(JB):
0.82
\n",
"
\n",
"
\n",
"
Heteroskedasticity (H):
1.17
Skew:
-0.18
\n",
"
\n",
"
\n",
"
Prob(H) (two-sided):
0.72
Kurtosis:
2.91
\n",
"
\n",
"
Warnings: [1] Covariance matrix calculated using the outer product of gradients (complex-step)."
],
"text/plain": [
"\n",
"\"\"\"\n",
" Unobserved Components Results \n",
"==============================================================================\n",
"Dep. Variable: y No. Observations: 70\n",
"Model: local level Log Likelihood -69.285\n",
"Date: Sat, 30 Apr 2022 AIC 144.570\n",
"Time: 21:21:51 BIC 151.272\n",
"Sample: 0 HQIC 147.229\n",
" - 70 \n",
"Covariance Type: opg \n",
"====================================================================================\n",
" coef std err z P>|z| [0.025 0.975]\n",
"------------------------------------------------------------------------------------\n",
"sigma2.irregular 0.4102 0.072 5.668 0.000 0.268 0.552\n",
"sigma2.level 4.655e-11 0.003 1.64e-08 1.000 -0.006 0.006\n",
"beta.x1 0.7718 0.076 10.221 0.000 0.624 0.920\n",
"===================================================================================\n",
"Ljung-Box (L1) (Q): 1.72 Jarque-Bera (JB): 0.40\n",
"Prob(Q): 0.19 Prob(JB): 0.82\n",
"Heteroskedasticity (H): 1.17 Skew: -0.18\n",
"Prob(H) (two-sided): 0.72 Kurtosis: 2.91\n",
"===================================================================================\n",
"\n",
"Warnings:\n",
"[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n",
"\"\"\""
]
},
"execution_count": 121,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"impact.model.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 4. Plotting the results\n",
"The easiest way of visualising the results is to use the `plot()` method of the `CausalImpact` object"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"impact.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By default, the plot contains three panels. The first panel shows the data and a counterfactual prediction for the post-treatment period. The second panel shows the difference between observed data and counterfactual predictions. This is the *pointwise* causal effect, as estimated by the model. The third panel adds up the pointwise contributions from the second panel, resulting in a plot of the *cumulative* effect of the intervention.\n",
"\n",
"Remember, once again, that all of the above inferences depend critically on the assumption that the covariates were not themselves affected by the intervention. The model also assumes that the relationship between covariates and treated time series, as established during the pre-period, remains stable throughout the post-period.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 5. Working with dates and times\n",
"\n",
"It is often more natural to feed a time-series object into `CausalImpact()` rather than a data frame. For example, we might create a `data` variable as follows:\n"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
y
\n",
"
x1
\n",
"
\n",
" \n",
" \n",
"
\n",
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2014-01-01
\n",
"
121.308920
\n",
"
101.463374
\n",
"
\n",
"
\n",
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2014-01-02
\n",
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120.563149
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99.448868
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2014-01-03
\n",
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119.832495
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99.524170
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2014-01-04
\n",
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119.433612
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99.033362
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2014-01-05
\n",
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119.840664
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100.779647
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" \n",
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"text/plain": [
" y x1\n",
"2014-01-01 121.308920 101.463374\n",
"2014-01-02 120.563149 99.448868\n",
"2014-01-03 119.832495 99.524170\n",
"2014-01-04 119.433612 99.033362\n",
"2014-01-05 119.840664 100.779647"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"date_range = pd.date_range(start=\"2014-01-01\", periods=100)\n",
"data.index = date_range\n",
"data.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can now specify the pre_period and post_period in terms of time points rather than indices:"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [],
"source": [
"pre_period = [pd.to_datetime(date) for date in [\"2014-01-01\", \"2014-03-12\"]]\n",
"post_period = [pd.to_datetime(date) for date in [\"2014-03-13\", \"2014-04-10\"]]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As a result, the x-axis of the plot shows time points instead of indices:"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"RUNNING THE L-BFGS-B CODE\n",
"\n",
" * * *\n",
"\n",
"Machine precision = 2.220D-16\n",
" N = 3 M = 10\n",
"\n",
"At X0 0 variables are exactly at the bounds\n",
"\n",
"At iterate 0 f= 1.03579D+00 |proj g|= 4.35257D-01\n",
"\n",
"At iterate 5 f= 9.74586D-01 |proj g|= 1.50180D-04\n",
"\n",
" * * *\n",
"\n",
"Tit = total number of iterations\n",
"Tnf = total number of function evaluations\n",
"Tnint = total number of segments explored during Cauchy searches\n",
"Skip = number of BFGS updates skipped\n",
"Nact = number of active bounds at final generalized Cauchy point\n",
"Projg = norm of the final projected gradient\n",
"F = final function value\n",
"\n",
" * * *\n",
"\n",
" N Tit Tnf Tnint Skip Nact Projg F\n",
" 3 5 10 1 0 0 1.502D-04 9.746D-01\n",
" F = 0.97458627690388255 \n",
"\n",
"CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" This problem is unconstrained.\n"
]
}
],
"source": [
"impact = CausalImpact(data, pre_period, post_period)\n",
"impact.run()"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"impact.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 6. Printing a summary table\n",
"\n",
"To obtain a numerical summary of the analysis we use: "
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Average Cumulative\n",
"Actual 130 3784\n",
"Predicted 120 3484\n",
"95% CI [118, 122] [3430, 3538]\n",
" \n",
"Absolute Effect 10 300\n",
"95% CI [12, 8] [354, 246]\n",
" \n",
"Relative Effect 8.6% 8.6%\n",
"95% CI [10.2%, 7.1%] [10.2%, 7.1%]\n",
" \n",
"P-value 0.0% \n",
"Prob. of Causal Effect 100.0% \n"
]
}
],
"source": [
"impact.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The **Average** column talks about the average (across time) during the post-intervention period (in the example: time points 71 through 100). The **Cumulative** column sums up individual time points, which is a useful perspective if the response variable represents a flow quantity (such as queries, clicks, visits, installs, sales, or revenue) rather than a stock quantity (such as number of users or stock price).\n",
"\n",
"In the example, the estimated average causal effect of treatment was 11 (rounded to a whole number; for full precision see `impact$summary`). This is because we observed an average value of 99 but would have expected an average value of only 89. The 95% posterior interval of the average effect is [9.8, 11]. Since this excludes 0, we (correctly) conclude that the intervention had a causal effect on the response variable. Since we generated the data ourselves, we know that we injected a true effect of 10, and so the model accurately recovered ground truth. One reason for this is that we ensured, by design, that the covariate `x1` was not itself affected by the intervention. In practice, we must always reason whether this assumption is justified.\n",
"\n",
"For additional guidance about the correct interpretation of the summary table, the package provides a verbal interpretation, which we can print using:\n"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" During the post-intervention period, the response variable had an average value of approx. 130. By contrast, in the\n",
"absence of an intervention, we would have expected an average response of 120. The 95% interval of this counterfactual\n",
"prediction is [118, 122]. Subtracting this prediction from the observed response yields an estimate of the causal effect\n",
"the intervention had on the response variable. This effect is 10 with a 95% interval of [12, 8]. For a discussion of the\n",
"significance of this effect, see below. The probability of obtaining this effect by chance is\n",
"very small (Bayesian one-sided tail-area probability p = \", round(p, 3), \"). This means the\n",
"causal effect can be considered statistically significant.\n",
"\n",
"\n",
" Summing up the individual data points during the post-intervention period (which can only sometimes be meaningfully\n",
"interpreted), the response variable had an overall value of 3784. By contrast, had the intervention not taken place,\n",
"we would have expected a sum of 3784. The 95% interval of this prediction is [3430, 3538]\n",
"\n",
"\n",
" The above results are given in terms of absolute numbers. In relative terms, the response variable showed an increase\n",
"of 8.6%. The 95% interval of this percentage is [10.2%, 7.1%]\n",
"\n",
"\n",
" This means that the positive effect observed during the intervention period is statistically significant and unlikely\n",
"to be due to random fluctuations. It should be noted, however, that the question of whether this increase also bears\n",
"substantive significance can only be answered by comparing the absolute effect 10 to the original goal of the underlying\n",
"intervention.\n"
]
}
],
"source": [
"impact.summary(\"report\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 7. Adjusting the model\n",
"\n",
"So far, we've simply let the package decide how to construct a time-series model for the available data. However, there are several options that allow us to gain a little more control over this process. These options are passed into `model_args` as individual list elements, for example:"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"RUNNING THE L-BFGS-B CODE\n",
"\n",
" * * *\n",
"\n",
"Machine precision = 2.220D-16\n",
" N = 3 M = 10\n",
"\n",
"At X0 0 variables are exactly at the bounds\n",
"\n",
"At iterate 0 f= 1.03579D+00 |proj g|= 4.35257D-01\n",
"\n",
"At iterate 5 f= 9.74586D-01 |proj g|= 1.50180D-04\n",
"\n",
" * * *\n",
"\n",
"Tit = total number of iterations\n",
"Tnf = total number of function evaluations\n",
"Tnint = total number of segments explored during Cauchy searches\n",
"Skip = number of BFGS updates skipped\n",
"Nact = number of active bounds at final generalized Cauchy point\n",
"Projg = norm of the final projected gradient\n",
"F = final function value\n",
"\n",
" * * *\n",
"\n",
" N Tit Tnf Tnint Skip Nact Projg F\n",
" 3 5 10 1 0 0 1.502D-04 9.746D-01\n",
" F = 0.97458627690388255 \n",
"\n",
"CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" This problem is unconstrained.\n"
]
}
],
"source": [
"impact = CausalImpact(data, pre_period, post_period, model_args={\"niter\":5000, \"nseasons\":7})\n",
"impact.run()"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"impact.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Available options\n",
"\n",
"* `niter` Number of MCMC samples to draw. More samples lead to more accurate inferences. Defaults to __1000__.\n",
"\n",
"* `standardize_data` Whether to standardize all columns of the data before fitting the model. This is equivalent to an empirical Bayes approach to setting the priors. It ensures that results are invariant to linear transformations of the data. Defaults to __TRUE__.\n",
"\n",
"* `prior_level_sd` Prior standard deviation of the Gaussian random walk of the local level. Expressed in terms of data standard deviations. Defaults to __0.01__, a typical choice for well-behaved and stable datasets with low residual volatility after regressing out known predictors (e.g., web searches or sales in high quantities). When in doubt, a safer option is to use __0.1__, as validated on synthetic data, although this may sometimes give rise to unrealistically wide prediction intervals.\n",
"\n",
"* `nseasons` Period of the seasonal components. In order to include a seasonal component, set this to a whole number greater than 1. For example, if the data represent daily observations, use 7 for a day-of-week component. This interface currently only supports up to one seasonal component. To specify multiple seasonal components, use bsts to specify the model directly, then pass the fitted model in as bsts.model. Defaults to __1__, which means no seasonal component is used.\n",
"\n",
"* `season_duration` Duration of each season, i.e., number of data points each season spans. Defaults to __1__. For example, to add a day-of-week component to data with daily granularity, use __model_args = list(nseasons = 7, season_duration = 1)__. To add a day-of-week component to data with hourly granularity, set __model_args = list(nseasons = 7, season_duration = 24)__.\n",
"\n",
"* `dynamic_regression` Whether to include time-varying regression coefficients. In combination with a time-varying local trend or even a time-varying local level, this often leads to overspecification, in which case a static regression is safer. Defaults to __FALSE__."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 8. Using a custom model\n",
"\n",
"Instead of using the default model constructed by the CausalImpact package, we can use the bsts package to specify our own model. This provides the greatest degree of flexibility.\n",
"\n",
"Before constructing a custom model, we set the observed data in the post-treatment period to NA, reflecting the fact that the counterfactual response is unobserved after the intervention. We keep a copy of the actual observed response in the variable `post_period_response`."
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [],
"source": [
"post_period = [70,100]\n",
"post_period_response = y[post_period[0]:post_period[1]].copy()\n",
"y[post_period[0]:post_period[1]] = np.nan"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We next set up and estimate a time series model using the statsmodels package. Here is a simple example:"
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"RUNNING THE L-BFGS-B CODE\n",
"\n",
" * * *\n",
"\n",
"Machine precision = 2.220D-16\n",
" N = 2 M = 10\n",
"\n",
"At X0 0 variables are exactly at the bounds\n",
"\n",
"At iterate 0 f= 1.29676D+00 |proj g|= 1.16557D-01\n",
"\n",
"At iterate 5 f= 1.27429D+00 |proj g|= 2.71968D-05\n",
"\n",
" * * *\n",
"\n",
"Tit = total number of iterations\n",
"Tnf = total number of function evaluations\n",
"Tnint = total number of segments explored during Cauchy searches\n",
"Skip = number of BFGS updates skipped\n",
"Nact = number of active bounds at final generalized Cauchy point\n",
"Projg = norm of the final projected gradient\n",
"F = final function value\n",
"\n",
" * * *\n",
"\n",
" N Tit Tnf Tnint Skip Nact Projg F\n",
" 2 6 9 1 0 0 1.451D-07 1.274D+00\n",
" F = 1.2742850362213849 \n",
"\n",
"CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
" This problem is unconstrained.\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"
"
],
"text/plain": [
" response cum_response point_pred point_pred_lower \\\n",
"2014-01-01 121.308920 121.308920 121.994854 -2804.815502 \n",
"2014-01-02 120.563149 241.872070 118.618185 116.007655 \n",
"2014-01-03 119.832495 361.704565 119.691246 117.430460 \n",
"2014-01-04 119.433612 481.138177 119.082766 116.951277 \n",
"2014-01-05 119.840664 600.978841 121.502956 119.439151 \n",
"\n",
" point_pred_upper cum_pred cum_pred_lower cum_pred_upper \\\n",
"2014-01-01 3048.805211 121.994854 -2804.815502 3048.805211 \n",
"2014-01-02 121.228715 240.613039 -2688.807847 3170.033926 \n",
"2014-01-03 121.952031 360.304285 -2571.377387 3291.985957 \n",
"2014-01-04 121.214255 479.387051 -2454.426110 3413.200212 \n",
"2014-01-05 123.566761 600.890007 -2334.986959 3536.766973 \n",
"\n",
" point_effect point_effect_lower point_effect_upper cum_effect \\\n",
"2014-01-01 -0.685934 2926.124423 -2927.496290 0.0 \n",
"2014-01-02 1.944964 4.555494 -0.665566 0.0 \n",
"2014-01-03 0.141249 2.402035 -2.119536 0.0 \n",
"2014-01-04 0.350846 2.482335 -1.780643 0.0 \n",
"2014-01-05 -1.662292 0.401513 -3.726097 0.0 \n",
"\n",
" cum_effect_lower cum_effect_upper \n",
"2014-01-01 0.0 0.0 \n",
"2014-01-02 0.0 0.0 \n",
"2014-01-03 0.0 0.0 \n",
"2014-01-04 0.0 0.0 \n",
"2014-01-05 0.0 0.0 "
]
},
"execution_count": 134,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"impact.inferences.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, we call `CausalImpact()`. Instead of providing input data, we simply pass in the fitted model object (`bsts_model`). We also need to provide the actual observed response. This is needed so that the package can compute the difference between predicted response (stored in `bsts_model`) and actual observed response (stored in `post_period_response`)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 9. FAQ\n",
"\n",
"### How do I cite the package in my work?\n",
"We recommend referencing the use of the CausalImpact R package as shown in the example below:\n",
"\n",
"\"CausalImpact `r packageVersion(\"CausalImpact\")`, Brodersen et al., Annals of Applied Statistics (2015). http://google.github.io/CausalImpact/\"\n",
"\n",
"To find out which package version you are using, type `import causalimpact; causalimpact.__version__`. See the bottom of this page for full bibliographic details.\n",
"\n",
"### How can I check whether the model assumptions are fulfilled?\n",
"It's the elephant in the room with any causal analysis on observational data: how can we verify the assumptions that go into the model? Here are a few ways of getting started. First of all, it is critical to reason why the covariates that are included in the model (this was *x1* in the example) *were not themselves affected* by the intervention. Sometimes it helps to plot all covariates and do a visual sanity check. Next, it is a good idea to examine how well the outcome data *y* can be predicted *before the beginning of the intervention*. This can be done by running `CausalImpact()` on an imaginary intervention. Then check how well the model predicted the data following this imaginary intervention. We would expect not to find a significant effect, i.e., counterfactual estimates and actual data should agree reasonably closely. Finally, when presenting or writing up results, be sure to list the above assumptions explicitly, including the priors in `model_args`, and discuss them with your audience.\n",
"\n",
"### May the data contain missing values?\n",
"The response variable (i.e., the first column in data) may contain missing values (`NA`), but covariates (all other columns in data) may not. If one of your covariates contains missing values, consider imputing (i.e., estimating) the missing values; if this is not feasible, leave the regressor out.\n",
"\n",
"### How can I customize the default plot?\n",
"By default, `impact.plot()` creates three panels, showing the counterfactual, pointwise, and cumulative impact estimates. One way of customizing the plot is to specify which panels should be included:"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
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