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Minor modification to lasso_cont
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‎code/.ipynb_checkpoints/015_elasticnet_cont-checkpoint.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%capture\n",
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"import stata_setup, os\n",
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"if os.name == 'nt':\n",
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" stata_setup.config('C:/Program Files/Stata17/','mp')\n",
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"else:\n",
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" stata_setup.config('/usr/local/stata17','mp')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Data Preparation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n"
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]
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}
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],
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"source": [
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"%%stata -qui\n",
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"\n",
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"use \"../data/data\", clear\n",
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"\n",
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"quietly tabulate year, generate(y_)\n",
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"quietly tabulate cluster, generate(c_)\n",
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"\n",
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"* Generate the Flesch-Kincaid Grade Level indicator\n",
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"summarize flesch_kincaid_grade_level, detail\n",
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"local cutoff = r(p90)\n",
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"gen int FKG_01 = (flesch_kincaid_grade_level >= `cutoff')\n",
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"\n",
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"* Generate the excess number of sentences count\n",
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"summarize num_sentences, detail\n",
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"local cutoff_sentences = r(p5)\n",
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"gen int excess_sentences = num_sentences - `cutoff_sentences'\n",
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"replace excess_sentences = 0 if excess_sentences < 0\n",
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"\n",
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"local journals ecm jpe qje res //AER based category\n",
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"\n",
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"local jel_imp a_imp b_imp c_imp e_imp f_imp g_imp h_imp i_imp j_imp k_imp /// \n",
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"\t\tl_imp m_imp n_imp o_imp p_imp q_imp r_imp y_imp z_imp // D JEL based case\n",
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"\n",
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"\n",
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"#delimit ;\n",
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"vl set log_num_authors log_num_pages both_genders prop_women\n",
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" `journals' `jel_imp' y_2-y_20 c_2-c_215 jel_flag\n",
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" , dummy clear nonotes;\n",
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"vl create fe = vldummy - (both_genders jel_flag);\n",
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"vl substitute mfe = i.fe;\n",
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"vl create controls = vlcontinuous - (prop_women);\n",
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"vl create controls_dummy = (both_genders jel_flag);\n",
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"vl substitute baseline = i.controls_dummy controls;\n",
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"vl rebuild;\n",
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"#delimit cr"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Elastic Net - Logistic"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n"
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]
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}
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],
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"source": [
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"%%stata -qui -eret steret\n",
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"#delimit ;\n",
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"elasticnet logit FKG_01 prop_women $baseline $mfe, alpha(0.99) lambda(0.02) nolog;\n",
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"#delimit cr"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"------------------------------------------------------------------------------\n",
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" FKG_01 | Coefficient\n",
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"-------------+----------------------------------------------------------------\n",
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" c_4 |\n",
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" 0 | -.3811678\n",
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" 1 | .3843454\n",
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" |\n",
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" _cons | -1.816232\n",
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"------------------------------------------------------------------------------\n"
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]
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}
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],
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"source": [
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"%stata ereturn display"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Elastic Net - Poisson"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n"
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]
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}
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],
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"source": [
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"%%stata -qui -eret steret\n",
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"#delimit ;\n",
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"elasticnet poisson excess_sentences prop_women $baseline $mfe, alpha(0.7) lambda(.1) nolog;\n",
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"#delimit cr"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"------------------------------------------------------------------------------\n",
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"excess_sen~s | Coefficient\n",
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"-------------+----------------------------------------------------------------\n",
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"log_num_pa~s | .3588161\n",
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" |\n",
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" ecm |\n",
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" 0 | -.1451147\n",
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" 1 | .1451147\n",
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" |\n",
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" qje |\n",
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" 0 | -.0868885\n",
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" 1 | .0868885\n",
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" |\n",
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" res |\n",
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" 0 | -.1660911\n",
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" 1 | .1660911\n",
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" |\n",
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" c_imp |\n",
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" 0 | -.0183949\n",
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" 1 | .0183949\n",
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" |\n",
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" c_86 |\n",
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" 0 | -.1177174\n",
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" 1 | .1177467\n",
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" |\n",
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" c_114 |\n",
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" 0 | -.2093475\n",
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" 1 | .2098763\n",
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" |\n",
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" c_136 |\n",
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" 0 | -.5765329\n",
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" 1 | .5765334\n",
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" |\n",
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" c_142 |\n",
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" 0 | -.0506581\n",
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" 1 | .0506593\n",
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" |\n",
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" c_174 |\n",
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" 0 | -.0596673\n",
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" 1 | .0596695\n",
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" |\n",
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" _cons | .9339063\n",
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"------------------------------------------------------------------------------\n"
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]
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}
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],
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"source": [
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"%stata ereturn display"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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