{
 "cells": [
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   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise set 8: Heterogeneous treatment effectts\n",
    "\n",
    "In this exercise set we will be working with estimation of conditional average treatment effects assuming selection on observables. \n",
    "\n",
    "First we will use the `econml` package in Python to estimate a double machine learning causal forest, and in the second part we will use the `grf` package in R to estimate a causal forest.\n",
    "\n",
    "In this exercise we will be using data from LaLonde, R. J. (1986). Evaluating the econometric evaluations of training programs with experimental data. The American economic review, 604-620, regarding a job training field experiment, where we will examine possible treatment effect heterogeneity treatment effects, downloaded from [NYU](https://users.nber.org/~rdehejia/nswdata.html) but supplied to you in `csv` format in a sligthly cleaned format. The object of interest is real earnings in 1978 and we assume selection on observables and overlap.\n",
    "\n",
    "## Python\n",
    "\n",
    "In this first part of the exercise, we will be utilizing Python and `econml`.\n",
    "\n",
    "First we load some packages and the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>treat</th>\n",
       "      <th>age</th>\n",
       "      <th>education</th>\n",
       "      <th>black</th>\n",
       "      <th>hispanic</th>\n",
       "      <th>married</th>\n",
       "      <th>nodegree</th>\n",
       "      <th>re75</th>\n",
       "      <th>re78</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>705.000000</td>\n",
       "      <td>705.000000</td>\n",
       "      <td>705.000000</td>\n",
       "      <td>705.000000</td>\n",
       "      <td>705.000000</td>\n",
       "      <td>705.000000</td>\n",
       "      <td>705.000000</td>\n",
       "      <td>705.000000</td>\n",
       "      <td>705.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.415603</td>\n",
       "      <td>24.607092</td>\n",
       "      <td>10.272340</td>\n",
       "      <td>0.795745</td>\n",
       "      <td>0.107801</td>\n",
       "      <td>0.164539</td>\n",
       "      <td>0.774468</td>\n",
       "      <td>3116.271386</td>\n",
       "      <td>5586.166074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.493176</td>\n",
       "      <td>6.666376</td>\n",
       "      <td>1.720412</td>\n",
       "      <td>0.403443</td>\n",
       "      <td>0.310350</td>\n",
       "      <td>0.371027</td>\n",
       "      <td>0.418229</td>\n",
       "      <td>5104.566478</td>\n",
       "      <td>6269.582709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1122.621000</td>\n",
       "      <td>4159.919000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4118.681000</td>\n",
       "      <td>8881.665000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>37431.660000</td>\n",
       "      <td>60307.930000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            treat         age   education       black    hispanic     married  \\\n",
       "count  705.000000  705.000000  705.000000  705.000000  705.000000  705.000000   \n",
       "mean     0.415603   24.607092   10.272340    0.795745    0.107801    0.164539   \n",
       "std      0.493176    6.666376    1.720412    0.403443    0.310350    0.371027   \n",
       "min      0.000000   17.000000    3.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000   19.000000    9.000000    1.000000    0.000000    0.000000   \n",
       "50%      0.000000   23.000000   10.000000    1.000000    0.000000    0.000000   \n",
       "75%      1.000000   27.000000   11.000000    1.000000    0.000000    0.000000   \n",
       "max      1.000000   55.000000   16.000000    1.000000    1.000000    1.000000   \n",
       "\n",
       "         nodegree          re75          re78  \n",
       "count  705.000000    705.000000    705.000000  \n",
       "mean     0.774468   3116.271386   5586.166074  \n",
       "std      0.418229   5104.566478   6269.582709  \n",
       "min      0.000000      0.000000      0.000000  \n",
       "25%      1.000000      0.000000      0.000000  \n",
       "50%      1.000000   1122.621000   4159.919000  \n",
       "75%      1.000000   4118.681000   8881.665000  \n",
       "max      1.000000  37431.660000  60307.930000  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np \n",
    "import pandas as pd \n",
    "import seaborn as sns\n",
    "\n",
    "np.random.seed(73)\n",
    "\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "df = pd.read_csv('nsw.csv', index_col=0)\n",
    "\n",
    "df.describe()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.1**\n",
    ">\n",
    "> Subset the treatment, outcome and covariates from the `DataFrame` as `T`, `y` and `X`, respectively\n",
    "> \n",
    ">>*Hints:*\n",
    ">> \n",
    ">> A `DataFrame` supports method `.drop()`, if one wishes to drop multiple columns at once. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your answer here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "T = df.treat\n",
    "y = df.re78\n",
    "X = df.drop([ 'treat', 're78'], axis='columns')\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.2**\n",
    ">\n",
    "> Estimate a `CausalForest` using the `econml` package. Make sure that you use the splitting criterion as in the generalized random forest, but otherwise use default parameters.\n",
    "> \n",
    ">>*Hints:*\n",
    ">> \n",
    ">> The documentation for the `CausalForest` can be found [here](https://econml.azurewebsites.net/_autosummary/econml.grf.CausalForest.html)\n",
    ">>\n",
    ">> The splitting criterion is handled by the `criterion` parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your answer here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "CausalForest(criterion='het')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "from econml.grf import CausalForest\n",
    "cf = CausalForest(criterion='het')\n",
    "cf.fit(X, T, y)\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.3**\n",
    ">\n",
    "> Predict out of bag estimates of the CATE, and create a histogram of these. Do you observe heterogeneity?\n",
    "> \n",
    ">>*Hints:*\n",
    ">> \n",
    ">> The documentation for the `CausalForest` can be found [here](https://econml.azurewebsites.net/_autosummary/econml.grf.CausalForest.html)\n",
    ">>\n",
    ">> Out of bag is sometimes shortened oob\n",
    ">>\n",
    ">> You can create a histogram using `sns.histplot`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your answer here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "tau_cf = cf.oob_predict(X)\n",
    "\n",
    "sns.histplot(tau_cf, legend=False)\n",
    "plt.show()\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.4**\n",
    ">\n",
    "> Estimate a `CausalForestDML` using the `econml` package. Make sure that you 1) use the splitting criterion as in the generalized random forest, 2) interpret the treatment as a discrete treatment and 3) estimate a thousand trees, but otherwise use default parameters. \n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> The documentation for the `CausalForestDML` can be found [here](https://econml.azurewebsites.net/_autosummary/econml.dml.CausalForestDML.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<econml.dml.causal_forest.CausalForestDML at 0x1ff165a1c30>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "from econml.dml import CausalForestDML\n",
    "\n",
    "cf_dml = CausalForestDML(\n",
    "                        discrete_treatment=True,\n",
    "                        n_estimators=1000,\n",
    "                        criterion='het'\n",
    "                        )\n",
    "                        \n",
    "cf_dml.fit(Y=y, T=T, X=X)\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.5**\n",
    ">\n",
    "> Report the doubly robust average treatment effect\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> The documentation for the `CausalForestDML` can be found [here](https://econml.azurewebsites.net/_autosummary/econml.dml.CausalForestDML.html)\n",
    ">>\n",
    ">> A function which summarizes the model findings is available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Population summary results are available only if `cache_values=True` at fit time!\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>Doubly Robust ATE on Training Data Results</caption>\n",
       "<tr>\n",
       "   <td></td>   <th>point_estimate</th> <th>stderr</th>  <th>zstat</th> <th>pvalue</th> <th>ci_lower</th> <th>ci_upper</th>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ATE</th>     <td>805.679</td>    <td>487.542</td> <td>1.653</td>  <td>0.098</td> <td>-149.886</td> <td>1761.244</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<caption>Doubly Robust ATT(T=0) on Training Data Results</caption>\n",
       "<tr>\n",
       "   <td></td>   <th>point_estimate</th> <th>stderr</th>  <th>zstat</th> <th>pvalue</th> <th>ci_lower</th> <th>ci_upper</th>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ATT</th>     <td>808.062</td>    <td>473.896</td> <td>1.705</td>  <td>0.088</td> <td>-120.757</td> <td>1736.881</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<caption>Doubly Robust ATT(T=1) on Training Data Results</caption>\n",
       "<tr>\n",
       "   <td></td>   <th>point_estimate</th> <th>stderr</th> <th>zstat</th> <th>pvalue</th> <th>ci_lower</th>  <th>ci_upper</th>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>ATT</th>     <td>802.328</td>    <td>965.46</td> <td>0.831</td>  <td>0.406</td> <td>-1089.938</td> <td>2694.594</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'econml.utilities.Summary'>\n",
       "\"\"\"\n",
       "        Doubly Robust ATE on Training Data Results       \n",
       "=========================================================\n",
       "    point_estimate  stderr zstat pvalue ci_lower ci_upper\n",
       "---------------------------------------------------------\n",
       "ATE        805.679 487.542 1.653  0.098 -149.886 1761.244\n",
       "     Doubly Robust ATT(T=0) on Training Data Results     \n",
       "=========================================================\n",
       "    point_estimate  stderr zstat pvalue ci_lower ci_upper\n",
       "---------------------------------------------------------\n",
       "ATT        808.062 473.896 1.705  0.088 -120.757 1736.881\n",
       "     Doubly Robust ATT(T=1) on Training Data Results     \n",
       "=========================================================\n",
       "    point_estimate stderr zstat pvalue  ci_lower ci_upper\n",
       "---------------------------------------------------------\n",
       "ATT        802.328 965.46 0.831  0.406 -1089.938 2694.594\n",
       "---------------------------------------------------------\n",
       "\"\"\""
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "cf_dml.summary()\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.6**\n",
    ">\n",
    "> Examine what variables drive the heterogeneity using the split based feature importance method.\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> The documentation for the `CausalForestDML` can be found [here](https://econml.azurewebsites.net/_autosummary/econml.dml.CausalForestDML.html)\n",
    ">>\n",
    ">> The feature importances and feature names are available through a method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "age        0.34\n",
      "education  0.18\n",
      "black      0.027\n",
      "hispanic   0.013\n",
      "married    0.046\n",
      "nodegree   0.018\n",
      "re75       0.37\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "# Variable name and importance, printed and unsorted \n",
    "for name, importance in zip (cf_dml.cate_feature_names(), cf_dml.feature_importances()):\n",
    "    print(f\"{name: <10} {importance:.2}\")\n",
    "\n",
    "# Sorted and plotted\n",
    "importances = pd.Series(cf_dml.feature_importances(),index = X.columns).sort_values(ascending=False)\n",
    "importances.plot.bar()\n",
    "plt.show()\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.7**\n",
    ">\n",
    "> Calculate the SHAP values for the model.\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> There's an example on the following [page](https://econml.azurewebsites.net/spec/interpretability.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 97%|=================== | 681/705 [00:42<00:01]       "
     ]
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "shap_values = cf_dml.shap_values(X)\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.8**\n",
    ">\n",
    "> Create a bar plot of the feature importance using SHAP values. Is the top variable the same as in the split based one?\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> There's an example on the following [page](https://econml.azurewebsites.net/spec/interpretability.html)\n",
    ">>\n",
    ">> The summary plot has a `plot_type` parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x430 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "import shap\n",
    "\n",
    "unnested_shap_values = shap_values['re78']['treat_1']\n",
    "\n",
    "shap.summary_plot(unnested_shap_values, plot_type=\"bar\")\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.9**\n",
    ">\n",
    "> Create a summary plot of the feature importance using SHAP values. In what way does the top variable moderate the CATE?\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> There's an example on the following [page](https://econml.azurewebsites.net/spec/interpretability.html)\n",
    ">>\n",
    ">> The feature value colourbar might disappear, in which the following to lines of code might help:\n",
    ">>\n",
    ">> `plt.gcf().axes[-1].set_aspect(100)`\n",
    ">>\n",
    ">> `plt.gcf().axes[-1].set_box_aspect(100)`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x430 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "shap.summary_plot(unnested_shap_values, show=False)\n",
    "plt.gcf().axes[-1].set_aspect(100)\n",
    "plt.gcf().axes[-1].set_box_aspect(100)\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.10**\n",
    ">\n",
    "> Create a shallow decision tree of depth 2 to explain the CATE as a function of the inputs using `SingleTreeCateInterpreter`. Does the tree split on the variables you expected it to?\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> There's an example on the following [page](https://econml.azurewebsites.net/spec/interpretability.html)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Criterion 'mse' was deprecated in v1.0 and will be removed in version 1.2. Use `criterion='squared_error'` which is equivalent.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "from econml.cate_interpreter import SingleTreeCateInterpreter\n",
    "%matplotlib inline\n",
    "treeCATE = SingleTreeCateInterpreter(max_depth=2)\n",
    "treeCATE.interpret(cf_dml, X)\n",
    "\n",
    "fig, ax = plt.subplots(1, figsize=(20,10))\n",
    "    \n",
    "treeCATE.plot(ax=ax, fontsize= 16, feature_names=X.columns)\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 1.11**\n",
    ">\n",
    "> Create a shallow policy tree of depth 2 to explain the CATE as a function of the inputs using `SingleTreePolicyInterpreter`. Who does the model target?\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> There's an example on the following [page](https://econml.azurewebsites.net/spec/interpretability.html)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "from econml.cate_interpreter import SingleTreePolicyInterpreter\n",
    "treePolicy = SingleTreePolicyInterpreter(max_depth=2)\n",
    "treePolicy.interpret(cf_dml, X)\n",
    "\n",
    "fig, ax = plt.subplots(1, figsize=(20,10))\n",
    "    \n",
    "treePolicy.plot(ax=ax, fontsize= 16, feature_names=X.columns)\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## R\n",
    "\n",
    "In the second part of the exercise, we will be utilizing Python and `grf`. I will supply R code in code that has been commented out (# for code, ## for comments), and they will not be able to run in Python if you comment them in again. One can run R code in Python using `rpy2`, but I generally recommend using R and not `rpy2` due to the complexity of problem solving if `rpy2` fails.\n",
    "\n",
    "The many different functions available in `grf` can be seen in their [reference](https://grf-labs.github.io/grf/reference/index.html) and they have a lot of great tutorials, accessible at the top of their page.\n",
    "\n",
    "First we load the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "#library(ggplot2)\n",
    "#library(grf)\n",
    "\n",
    "## Load data\n",
    "# df = read.csv(\"nsw.csv\")\n",
    "\n",
    "## Subset target, treatment and covariates\n",
    "#Y = df$re78\n",
    "#W = df$treat\n",
    "#X = subset(df, select= c(-treat, -re78, -X))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 2.1**\n",
    ">\n",
    "> Estimate a `causal_forest` using `grf`.\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> There's documentation for `causal_forest` can be found [here](https://grf-labs.github.io/grf/reference/causal_forest.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "#cf = causal_forest(X, Y, W)\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 2.2**\n",
    ">\n",
    "> Assess the overlap assumption by creating a histogram of the estimated treatment propensities\n",
    "> \n",
    ">>*Hints:*\n",
    ">> \n",
    ">> An example can be seen [here](https://grf-labs.github.io/grf/articles/diagnostics.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "## Treatment propensities\n",
    "#e.hat = cf$W.hat\n",
    "\n",
    "## Plot\n",
    "#hist(e.hat)\n",
    "\n",
    "## Bounded away from 1 and 0, looks good\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](overlap_test.png)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 2.3**\n",
    ">\n",
    "> Estimate the doubly robust average treatment effect. Do we find the same as previously?\n",
    "> \n",
    ">>*Hints:*\n",
    ">> \n",
    ">> Can you find a function for average treatment effect estimation in the reference?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "#average_treatment_effect(cf)\n",
    "\n",
    "## Output\n",
    "## estimate  std.err \n",
    "## 782.0347 508.0461 \n",
    "\n",
    "# Approximately the same as before -- good!\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 2.4**\n",
    ">\n",
    "> Estimate out of bag CATE's\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> How to predict with a forest can be seen [here](https://grf-labs.github.io/grf/reference/predict.causal_forest.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "## Calculate out-of-bag CATE\n",
    "#tau.hat = predict(cf)$predictions\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 2.5**\n",
    ">\n",
    "> Test whether heterogeneity exists in the CATE's using the median split based test.\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> An example can be seen [here](https://grf-labs.github.io/grf/articles/diagnostics.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "## Split on median\n",
    "#high.effect = tau.hat > median(tau.hat)\n",
    "\n",
    "## Calculate average treatment effects\n",
    "#ate.high = average_treatment_effect(cf, subset = high.effect)\n",
    "#ate.low = average_treatment_effect(cf, subset = !high.effect)\n",
    "\n",
    "## Calculate difference and CI\n",
    "#CATE_difference = ate.high[[\"estimate\"]] - ate.low[[\"estimate\"]] \n",
    "#CI = ate.high[[\"estimate\"]] - ate.low[[\"estimate\"]] +\n",
    "#  c(-1, 1) * qnorm(0.975) * sqrt(ate.high[[\"std.err\"]]^2 + ate.low[[\"std.err\"]]^2)\n",
    "\n",
    "## Report\n",
    "#print(CATE_difference)\n",
    "#print(CI)\n",
    "\n",
    "## [1] 669.8228\n",
    "## [1] -1340.735  2680.381\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 2.6**\n",
    ">\n",
    "> Test whether heterogeneity exists in the CATE's using the RATE. NOTE: Here we should do out of sample predictions, which I ignore in this exercise!\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> How to estimate the RATE can be seen [here](https://grf-labs.github.io/grf/reference/rank_average_treatment_effect.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "## Calculate RATE\n",
    "#rate = rank_average_treatment_effect(cf, tau.hat, target = \"AUTOC\")\n",
    "\n",
    "## Results\n",
    "#print(rate)\n",
    "## estimate  std.err             target\n",
    "## 29.55353 429.4161 priorities | AUTOC\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 2.8**\n",
    ">\n",
    "> Examine what variables drive the heterogeneity using the split based feature importance method.\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> A function to calculate the variable importance can be found in the [grf reference](https://grf-labs.github.io/grf/reference/index.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "## Calculate variable importance\n",
    "#varimp = variable_importance(cf)\n",
    "## Print results\n",
    "#print(varimp)\n",
    "##           [,1]\n",
    "##[1,] 0.29462337\n",
    "##[2,] 0.15099209\n",
    "##[3,] 0.03964410\n",
    "##[4,] 0.01855247\n",
    "##[5,] 0.07758364\n",
    "##[6,] 0.02579878\n",
    "##[7,] 0.39280555\n",
    "\n",
    "## Same results as before, age and re75\n",
    "\n",
    "\n",
    "### END SOLUTION"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Exercise 2.9**\n",
    ">\n",
    "> Examine how the variables affect heterogeneity using the best linear projection.\n",
    ">\n",
    ">>*Hints:*\n",
    ">> \n",
    ">> A function to estimate the best linear projection can be found in the [grf reference](https://grf-labs.github.io/grf/reference/index.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "### BEGIN SOLUTION\n",
    "\n",
    "\n",
    "## Rank vars and get best linear projection\n",
    "#ranked.vars = order(varimp, decreasing = TRUE)\n",
    "#best_lin_proj = best_linear_projection(cf, X[ranked.vars])\n",
    "\n",
    "## Print results\n",
    "#print(best_lin_proj)\n",
    "\n",
    "## Results\n",
    "## Best linear projection of the conditional average treatment effect.\n",
    "##Confidence intervals are cluster- and heteroskedasticity-robust (HC3):\n",
    "##\n",
    "##               Estimate  Std. Error t value Pr(>|t|)   \n",
    "##(Intercept) -5117.83175  5808.15316 -0.8811 0.378542   \n",
    "##re75           -0.32801     0.10494 -3.1257 0.001847 **\n",
    "##age            40.38223    80.12389  0.5040 0.614422   \n",
    "##education     481.73107   383.02820  1.2577 0.208925   \n",
    "##married      2617.70317  1420.71210  1.8425 0.065822 . \n",
    "##black         491.84656  1608.76159  0.3057 0.759902   \n",
    "##nodegree      383.19631  1667.00113  0.2299 0.818259   \n",
    "##hispanic     -818.57994  2099.72022 -0.3899 0.696765   \n",
    "##---\n",
    "##Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n",
    "\n",
    "### END SOLUTION"
   ]
  }
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