From e1c251e46d7f51db852760552a17b130ba27702b Mon Sep 17 00:00:00 2001 From: Alexander Fischer Date: Mon, 1 Jan 2024 14:47:07 +0100 Subject: [PATCH] Dev (#225) * update figures * fix #103 and report unajdusted r squared values in summary * update lock file * update the docs * update index for docs * update index * update news.md * more elegant reindexing * update readme * add fixest_multi_context method and fixest_multi_flag method * first lpdid prototype * initial lpdid implementation * add basic tests for lpdid * tweaks * more tweaks * add type hints * fix failing tests * add r2 to etable output #227 * formatting * small improvements towards F-test implementation * reorganise DID methods, small tweaks to lpdid * reorg did codebase, rename folder from experimental to did * more cleanups * test lpdid against stata * small fixes, no wald tests * test wald test against clubSandwich * try r2u * formatting * run r2u via container * run on windows latest * fix windows latest * no r2u * back to ubuntu * pass unit tests for tests of linear coefficients * pass all test except p values for wald tests * throw error if all variables are collinear #228 * update error message' ' * add pooled estimate for lpdid * bump version * update news, add vignette for DiD estimation * lint * delete load_df_het * add nobs info to lpdid output plus test * fix did2s vcov spsolve csc warnings * minor lpdid cleanups * update docs * wald test only in pyfixest 0.14.0 * update readme * formatting --- docs/Replicating-the-Effect.ipynb | 111 +- ...difference-in-differences-estimation.ipynb | 947 ++++++++++++++++++ docs/index.ipynb | 113 +-- docs/news.html | 12 +- docs/news.md | 20 +- docs/tutorial.ipynb | 8 +- figures/lpdid_event_study.png | Bin 0 -> 28088 bytes mkdocs.yml | 1 + pyfixest/FixestMulti.py | 39 +- pyfixest/did/__init__.py | 7 + .../{experimental => did}/data/df_het.csv | 0 pyfixest/did/data/lpdidtestdata1.dta | Bin 0 -> 2806705 bytes pyfixest/did/did.py | 97 ++ .../{experimental/did.py => did/did2s.py} | 291 +----- pyfixest/did/event_study.py | 120 +++ pyfixest/did/lpdid.py | 299 ++++++ pyfixest/did/twfe.py | 80 ++ pyfixest/experimental/__init__.py | 6 - pyfixest/experimental/load_df_het.py | 15 - pyfixest/feols.py | 134 ++- pyfixest/summarize.py | 25 +- pyfixest/visualize.py | 4 +- pyproject.toml | 2 +- readme.html | 239 ++--- readme.md | 80 +- tests/test_did.py | 85 +- tests/test_i.py | 6 +- tests/test_vs_fixest.py | 30 + tests/test_wald_test.py | 46 + 29 files changed, 2190 insertions(+), 627 deletions(-) create mode 100644 docs/difference-in-differences-estimation.ipynb create mode 100644 figures/lpdid_event_study.png create mode 100644 pyfixest/did/__init__.py rename pyfixest/{experimental => did}/data/df_het.csv (100%) create mode 100644 pyfixest/did/data/lpdidtestdata1.dta create mode 100644 pyfixest/did/did.py rename pyfixest/{experimental/did.py => did/did2s.py} (56%) create mode 100644 pyfixest/did/event_study.py create mode 100644 pyfixest/did/lpdid.py create mode 100644 pyfixest/did/twfe.py delete mode 100644 pyfixest/experimental/__init__.py delete mode 100644 pyfixest/experimental/load_df_het.py create mode 100644 tests/test_wald_test.py diff --git a/docs/Replicating-the-Effect.ipynb b/docs/Replicating-the-Effect.ipynb index 79c33204..da76a1f4 100644 --- a/docs/Replicating-the-Effect.ipynb +++ b/docs/Replicating-the-Effect.ipynb @@ -11,16 +11,48 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 1, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] + "data": { + "text/html": [ + "\n", + "
\n", + " \n", + " " + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -42,68 +74,33 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 2, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "###\n", - "\n", - "Estimation: OLS\n", - "Dep. var.: lwg\n", - "Inference: iid\n", - "Observations: 428\n", - "\n", - "| Coefficient | Estimate | Std. Error | t value | Pr(>|t|) | 2.5 % | 97.5 % |\n", - "|:--------------|-----------:|-------------:|----------:|-----------:|--------:|---------:|\n", - "| Intercept | 1.007 | 0.071 | 14.180 | 0.000 | 0.868 | 1.147 |\n", - "| inc | 0.010 | 0.003 | 2.947 | 0.003 | 0.003 | 0.016 |\n", - "---\n", - "RMSE: 0.715 Adj. R2: 0.015 Adj. R2 Within: 0.015\n", - "###\n", - "\n", - "Estimation: OLS\n", - "Dep. var.: lwg\n", - "Inference: iid\n", - "Observations: 428\n", - "\n", - "| Coefficient | Estimate | Std. Error | t value | Pr(>|t|) | 2.5 % | 97.5 % |\n", - "|:--------------|-----------:|-------------:|----------:|-----------:|--------:|---------:|\n", - "| Intercept | 0.972 | 0.070 | 13.909 | 0.000 | 0.834 | 1.109 |\n", - "| inc | 0.005 | 0.003 | 1.640 | 0.102 | -0.001 | 0.012 |\n", - "| wc | 0.342 | 0.075 | 4.595 | 0.000 | 0.196 | 0.489 |\n", - "---\n", - "RMSE: 0.698 Adj. R2: 0.06 Adj. R2 Within: 0.06\n", - "###\n", - "\n", - "Estimation: OLS\n", - "Dep. var.: lwg\n", - "Inference: iid\n", - "Observations: 428\n", - "\n", - "| Coefficient | Estimate | Std. Error | t value | Pr(>|t|) | 2.5 % | 97.5 % |\n", - "|:--------------|-----------:|-------------:|----------:|-----------:|--------:|---------:|\n", - "| Intercept | 0.982 | 0.071 | 13.819 | 0.000 | 0.843 | 1.122 |\n", - "| inc | 0.005 | 0.003 | 1.590 | 0.113 | -0.001 | 0.012 |\n", - "| wc | 0.349 | 0.075 | 4.656 | 0.000 | 0.202 | 0.497 |\n", - "| k5 | -0.072 | 0.087 | -0.825 | 0.410 | -0.243 | 0.099 |\n", - "---\n", - "RMSE: 0.697 Adj. R2: 0.059 Adj. R2 Within: 0.059\n" - ] - }, { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\alexa\\AppData\\Local\\Temp\\ipykernel_20008\\3519125210.py:8: SettingWithCopyWarning: \n", + "C:\\Users\\alexa\\AppData\\Local\\Temp\\ipykernel_3680\\3519125210.py:8: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " dt.loc[:, \"earn\"] = dt[\"lwg\"].apply(\"exp\")\n" ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "> \u001b[1;32mc:\\users\\alexa\\appdata\\local\\programs\\python\\python310\\lib\\site-packages\\pyfixest\\model_matrix_fixest.py\u001b[0m(261)\u001b[0;36mmodel_matrix_fixest\u001b[1;34m()\u001b[0m\n", + "\u001b[1;32m 259 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[0m\u001b[1;32m 260 \u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mpdb\u001b[0m\u001b[1;33m;\u001b[0m \u001b[0mpdb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_trace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[0m\u001b[1;32m--> 261 \u001b[1;33m \u001b[1;32mif\u001b[0m \u001b[0mfe\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[0m\u001b[1;32m 262 \u001b[1;33m \u001b[1;32mif\u001b[0m \u001b[0mdrop_singletons\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[0m\u001b[1;32m 263 \u001b[1;33m \u001b[0mdropped_singleton_bool\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdetect_singletons\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfe\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_numpy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[0m\n" + ] } ], "source": [ diff --git a/docs/difference-in-differences-estimation.ipynb b/docs/difference-in-differences-estimation.ipynb new file mode 100644 index 00000000..5828a740 --- /dev/null +++ b/docs/difference-in-differences-estimation.ipynb @@ -0,0 +1,947 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Difference-in-Differences Estimation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`PyFixest` supports eventy study designs via \n", + "- the chanonical two-way fixed effects design\n", + "- Gardner's 2-stage estimator \n", + "- and the local projections approach following [Dube et al (2023)](https://www.nber.org/papers/w31184) " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + }, + { + "data": { + "text/html": [ + "
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unitstategroupunit_fegyearyear_fetreatrel_yearrel_year_binnederrortete_dynamicdep_var
0133Group 27.043016201019900.066159False-20.0-6-0.08646600.07.022709
1133Group 27.04301620101991-0.030980False-19.0-60.76659300.07.778628
2133Group 27.04301620101992-0.119607False-18.0-61.51296800.08.436377
3133Group 27.043016201019930.126321False-17.0-60.02187000.07.191207
4133Group 27.04301620101994-0.106921False-16.0-6-0.01760300.06.918492
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" + ], + "text/plain": [ + " unit state group unit_fe g year year_fe treat rel_year \\\n", + "0 1 33 Group 2 7.043016 2010 1990 0.066159 False -20.0 \n", + "1 1 33 Group 2 7.043016 2010 1991 -0.030980 False -19.0 \n", + "2 1 33 Group 2 7.043016 2010 1992 -0.119607 False -18.0 \n", + "3 1 33 Group 2 7.043016 2010 1993 0.126321 False -17.0 \n", + "4 1 33 Group 2 7.043016 2010 1994 -0.106921 False -16.0 \n", + "\n", + " rel_year_binned error te te_dynamic dep_var \n", + "0 -6 -0.086466 0 0.0 7.022709 \n", + "1 -6 0.766593 0 0.0 7.778628 \n", + "2 -6 1.512968 0 0.0 8.436377 \n", + "3 -6 0.021870 0 0.0 7.191207 \n", + "4 -6 -0.017603 0 0.0 6.918492 " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "from pyfixest.estimation import feols\n", + "from pyfixest.did.did2s import did2s\n", + "from pyfixest.did.lpdid import lpdid\n", + "\n", + "file_path = \"../pyfixest/did/data/df_het.csv\"\n", + "df_het = pd.read_csv(file_path)\n", + "df_het.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### DiD Estimation via `feols()`, `did2s()` and `lpdid()`" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can estimate a simple two-way fixed effects DiD regression via `feols()`:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "fit_twfe = feols(\n", + " \"dep_var ~ i(rel_year) | unit + year\",\n", + " df_het,\n", + " i_ref1=[-1.0, np.inf],\n", + " vcov={\"CRV1\": \"state\"},\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To do the same via Gardners 2-stage estimator, we employ the the `did2s()` function: " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from pyfixest.did.did2s import did2s\n", + "\n", + "fit_did2s = did2s(\n", + " df_het,\n", + " yname=\"dep_var\",\n", + " first_stage=\"~ 0 | unit + year\",\n", + " second_stage=\"~i(rel_year)\",\n", + " treatment=\"treat\",\n", + " cluster=\"state\",\n", + " i_ref1=[-1.0, np.inf],\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Last, we can estimate the ATT for each time period via local projections by using the `lpdid()` function: " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "from pyfixest.did.lpdid import lpdid\n", + "\n", + "fit_lpdid = lpdid(\n", + " data=df_het,\n", + " yname=\"dep_var\",\n", + " gname=\"g\",\n", + " tname=\"year\",\n", + " idname=\"unit\",\n", + " vcov={\"CRV1\": \"state\"},\n", + " pre_window=-20,\n", + " post_window=20,\n", + " att=False,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's look at some results: " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "figsize = [1200, 400]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fit_twfe.iplot(\n", + " coord_flip=False,\n", + " title=\"TWFE-Estimator\",\n", + " figsize=figsize,\n", + " xintercept=18.5,\n", + " yintercept=0,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fit_did2s.iplot(\n", + " coord_flip=False,\n", + " title=\"DID2s-Estimator\",\n", + " figsize=figsize,\n", + " xintercept=18.5,\n", + " yintercept=0,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fit_lpdid.iplot(\n", + " coord_flip=False,\n", + " title=\"Local-Projections-Estimator\",\n", + " figsize=figsize,\n", + " yintercept=0,\n", + " xintercept=18.5,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What if we are not interested in the ATT per treatment period, but in a pooled effects? " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "fit_twfe = feols(\n", + " \"dep_var ~ i(treat) | unit + year\",\n", + " df_het,\n", + " vcov={\"CRV1\": \"state\"},\n", + ")\n", + "\n", + "fit_did2s = did2s(\n", + " df_het,\n", + " yname=\"dep_var\",\n", + " first_stage=\"~ 0 | unit + year\",\n", + " second_stage=\"~i(treat)\",\n", + " treatment=\"treat\",\n", + " cluster=\"state\",\n", + ")\n", + "\n", + "fit_lpdid = lpdid(\n", + " data=df_het,\n", + " yname=\"dep_var\",\n", + " gname=\"g\",\n", + " tname=\"year\",\n", + " idname=\"unit\",\n", + " vcov={\"CRV1\": \"state\"},\n", + " pre_window=-20,\n", + " post_window=20,\n", + " att=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Estimate Std. Error t value Pr(>|t|) 2.5 % 97.5 % \\\n", + "treat_diff 2.506746 0.071357 35.129648 0.0 2.362413 2.65108 \n", + "\n", + " N \n", + "treat_diff 5716.0 " + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fit_lpdid.tidy()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pyfixest-pKOwcWPT-py3.10", + "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": "3.10.8" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/index.ipynb b/docs/index.ipynb index c1c6f0b5..8afe3a42 100644 --- a/docs/index.ipynb +++ b/docs/index.ipynb @@ -11,79 +11,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "This is a draft package (no longer highly experimental) for a Python clone of the excellent [fixest](https://github.com/lrberge/fixest) package. \n", - "The package aims to mimic `fixest` syntax and functionality as closely as possible. \n", - "Fixed effects are projected out via the [PyHDFE](https://github.com/jeffgortmaker/pyhdfe) package.\n", + "[![PyPI - Version](https://img.shields.io/pypi/v/pyfixest.svg)](https://pypi.org/project/pyfixest/)\n", + "![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyfixest.svg)\n", + "![PyPI - Downloads](https://img.shields.io/pypi/dm/pyfixest)\n", + "[![image](https://codecov.io/gh/s3alfisc/pyfixest/branch/master/graph/badge.svg)](https://codecov.io/gh/s3alfisc/pyfixest)\n", "\n", - "At the moment, `PyFixest` supports\n", - "\n", - "- OLS and IV Regression\n", - "- Poisson Regression\n", - "- Multiple Estimation Syntax\n", - "- Several Robust and Cluster Robust Variance-Covariance Types\n", - "- Wild Cluster Bootstrap Inference (via [wildboottest](https://github.com/s3alfisc/wildboottest))\n", - "\n", - "For a quick introduction, see the [tutorial](https://s3alfisc.github.io/pyfixest/tutorial/).\n", - "\n", - "For a replication of (some) examples of Nick Huntington-Klein's book on causal inference, [The Effect](https://theeffectbook.net/), take a look at [Replicating the Effect](https://s3alfisc.github.io/pyfixest/Replicating-the-Effect/).\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example" + "`PyFixest` is a Python clone of the excellent [fixest](https://github.com/lrberge/fixest) package. The package aims to mimic `fixest` syntax and functionality as closely as Python allows. For a quick introduction, see the [tutorial](https://s3alfisc.github.io/pyfixest/tutorial/).\n" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [ - { - "data": { - "text/html": [ - "\n", - "
\n", - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "name": "stdout", "output_type": "stream", "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n", "###\n", "\n", "Estimation: OLS\n", @@ -93,9 +39,9 @@ "\n", "| Coefficient | Estimate | Std. Error | t value | Pr(>|t|) | 2.5 % | 97.5 % |\n", "|:--------------|-----------:|-------------:|----------:|-----------:|--------:|---------:|\n", - "| X1 | 0.259 | 0.048 | 5.372 | 0.000 | 0.160 | 0.357 |\n", + "| X1 | 0.484 | 0.059 | 8.176 | 0.000 | 0.363 | 0.605 |\n", "---\n", - "RMSE: 1.198 R2: 0.547 R2 Within: 0.028\n" + "RMSE: 1.197 R2: 0.558 R2 Within: 0.094\n" ] } ], @@ -117,26 +63,35 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "\n", + "## Functionality\n", + "\n", + "At the moment, `PyFixest` supports\n", + "\n", + "- OLS and IV Regression\n", + "- Poisson Regression\n", + "- Multiple Estimation Syntax\n", + "- Several Robust and Cluster Robust Variance-Covariance Types\n", + "- Wild Cluster Bootstrap Inference (via [wildboottest](https://github.com/s3alfisc/wildboottest))\n", + "- Difference-in-Difference Estimators:\n", + " - Gardner's two-stage (\"`Did2s`\") estimator is available via the `pyfixest.did.did` module\n", + "\n", "## Installation\n", "\n", - "You can install the release version from `PyPi` by running `pip install pyfixest` or the development version from [github](https://github.com/s3alfisc/pyfixest)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Benchmarks" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "You can install the release version from `PyPi` by running `pip install pyfixest` or the development version from github.\n", + "\n", + "## Benchmarks\n", + "\n", "All benchmarks follow the [fixest benchmarks](https://github.com/lrberge/fixest/tree/master/_BENCHMARK). All non-pyfixest timings are taken from the `fixest` benchmarks.\n", "\n", "![](../benchmarks/lets-plot-images/benchmarks_ols.svg)\n", - "![](../benchmarks/lets-plot-images/benchmarks_poisson.svg)" + "![](../benchmarks/lets-plot-images/benchmarks_poisson.svg)\n", + "\n", + "## Vignette\n", + "\n", + "For a quick introduction, see the [tutorial](https://s3alfisc.github.io/pyfixest/tutorial/).\n", + "\n", + "For a replication of (some) examples of Nick Huntington-Klein's book on causal inference, [The Effect](https://theeffectbook.net/), take a look at [Replicating the Effect](https://s3alfisc.github.io/pyfixest/Replicating-the-Effect/)." ] } ], diff --git a/docs/news.html b/docs/news.html index 352b9190..46530084 100644 --- a/docs/news.html +++ b/docs/news.html @@ -163,13 +163,13 @@

Breaking changes

New feature

A dids2() function is added, which implements the 2-stage difference-in-differences procedure à la Gardner and follows the syntax of @kylebutts did2s R package.

-
from pyfixest.experimental.did import did2s
+
from pyfixest.did.did import did2s
 from pyfixest.estimation import feols
 from pyfixest.visualize import iplot
 import pandas as pd
 import numpy as np
 
-df_het = pd.read_csv("https://raw.githubusercontent.com/s3alfisc/pyfixest/master/pyfixest/experimental/data/df_het.csv")
+df_het = pd.read_csv("pyfixest/did/data/df_het.csv")
 
 fit = did2s(
     df_het,
@@ -199,10 +199,10 @@ 

PyFixest 0.10.7

%load_ext autoreload
 %autoreload 2
 
-from pyfixest.experimental.did import event_study
+from pyfixest.did.did import event_study
 from pyfixest.summarize import etable
 import pandas as pd
-df_het = pd.read_csv("pyfixest/experimental/data/df_het.csv")
+df_het = pd.read_csv("pyfixest/did/data/df_het.csv")
 
 fit_twfe = event_study(
     data = df_het,
@@ -400,7 +400,7 @@ 

New Features

toggleBodyColorMode(bsSheetEl); } } - toggleBodyColorPrimary(); + toggleBodyColorPrimary(); const icon = ""; const anchorJS = new window.AnchorJS(); anchorJS.options = { @@ -444,7 +444,7 @@

New Features

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c8090e91..6916a38e 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -12,6 +12,7 @@ nav: - index.ipynb - news.md - tutorial.ipynb + - difference-in-differences-estimation.ipynb - Replicating-the-Effect.ipynb - reference.md diff --git a/pyfixest/FixestMulti.py b/pyfixest/FixestMulti.py index 525dffe7..6c2334ec 100644 --- a/pyfixest/FixestMulti.py +++ b/pyfixest/FixestMulti.py @@ -43,7 +43,7 @@ def __init__(self, data: pd.DataFrame) -> None: self._data = data.copy() # reindex: else, potential errors when pd.DataFrame.dropna() # -> drops indices, but formulaic model_matrix starts from 0:N... - self._data.index = range(data.shape[0]) + self._data.reset_index(drop=True, inplace=True) self.all_fitted_models = dict() def _prepare_estimation( @@ -322,19 +322,17 @@ def _estimate_all_models( "Estimation method not supported. Please use 'feols' or 'fepois'." ) - # some bookkeeping - FIT._fml = fml - FIT._depvar = depvar - FIT._Y_untransformed = Y - FIT._data = _data.iloc[~_data.index.isin(na_index)] - FIT._ssc_dict = _ssc_dict - FIT._k_fe = _k_fe - if fval != "0": - FIT._has_fixef = True - FIT._fixef = fval - else: - FIT._has_fixef = False - FIT._fixef = None + # enrich FIT with model info obtained outside of the model class + FIT.add_fixest_multi_context( + fml=fml, + depvar=depvar, + Y=Y, + _data=_data, + _ssc_dict=_ssc_dict, + _k_fe=_k_fe, + fval=fval, + na_index=na_index, + ) # if X is empty: no inference (empty X only as shorthand for demeaning) if not FIT._X_is_empty: @@ -356,6 +354,19 @@ def _estimate_all_models( # store fitted model self.all_fitted_models[fml] = FIT + self.set_fixest_multi_flag() + + def set_fixest_multi_flag(self): + """ + Set a flag to indicate whether multiple estimations are being performed or not. + Simple check if `all_fitted_models` has more than one key. + Throws an error if multiple estimations are being performed with IV estimation. + Args: + None + Returns: + None + """ + if len(self.all_fitted_models) > 1: self._is_multiple_estimation = True if self._is_iv: diff --git a/pyfixest/did/__init__.py b/pyfixest/did/__init__.py new file mode 100644 index 00000000..34c341b3 --- /dev/null +++ b/pyfixest/did/__init__.py @@ -0,0 +1,7 @@ +print( + """ + You have loaded the 'pyfixest.did' module. While every function is tested in `tests/test_did.py`, + the module is not yet as thoroughly tested as I would like. So please use it with caution and + provide feedback in case you stumble over any bugs! + """ +) diff --git a/pyfixest/experimental/data/df_het.csv b/pyfixest/did/data/df_het.csv similarity index 100% rename from pyfixest/experimental/data/df_het.csv rename to pyfixest/did/data/df_het.csv diff --git a/pyfixest/did/data/lpdidtestdata1.dta b/pyfixest/did/data/lpdidtestdata1.dta new file mode 100644 index 0000000000000000000000000000000000000000..8b1a8d999d06bf5f67eb26853bd8eaa164163203 GIT binary patch literal 2806705 zcmeF)36v96yEpm*nPd!ufC3VrRYa5sf{55%skF)@21Nu^2%~_AVNwQ_Vr~^MDwBv% zB0`HOQBgq=Dvd+S*p9TwtL1>Ub1SH=B7Xb7_dh!));-@^_q+F=bJn_Vv5KnNzdU>I znx0fAsigblDZ{1=8#;2zu-xurMhzP|YEo|ZNu$P(8a8=U?u8e2?cO21(0%yyDWh(i zga`Dw_KNNuGK<}N=TG6wppt>1dxyTc-Nz3bK5Bd}7Svq#DPwOPCEB|+ zo?AcIF?j8$c(7xrW2fMSox61sEoHQOhjdqN9TpcAs9_DKr>iE69-MwrMZu|6)%2-q zYC5Q365A>GXHo$(aI9pWyUaPP=zNtKDxOHfijz;p0aQoiaT>YI5#xfB(mS z-8=k)@$d=5#OmcvoiKKaYUsb|e{4r%^r-)))RqL#$!pa#LHD9+xrC34ZGA|#XmT2)2m0}GoKBfEYSFG^sIl;#p 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