From 2a2e893295867471b24c50a7d1f622dec1eb7936 Mon Sep 17 00:00:00 2001
From: Max Ghenis <mghenis@gmail.com>
Date: Wed, 19 Jun 2024 22:48:28 -0400
Subject: [PATCH] Black vs non-Black poverty rates under Wyden-Smith Fixes #2

---
 us/black_poverty_trafwa.ipynb | 153 ++++++++++++++++++++++++++++++++++
 1 file changed, 153 insertions(+)
 create mode 100644 us/black_poverty_trafwa.ipynb

diff --git a/us/black_poverty_trafwa.ipynb b/us/black_poverty_trafwa.ipynb
new file mode 100644
index 0000000..40080fe
--- /dev/null
+++ b/us/black_poverty_trafwa.ipynb
@@ -0,0 +1,153 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from policyengine_us import Microsimulation\n",
+    "from policyengine_core.reforms import Reform\n",
+    "\n",
+    "reform = Reform.from_dict({\n",
+    "  \"gov.contrib.congress.wyden_smith.actc_lookback\": {\n",
+    "    \"2024-01-01.2025-12-31\": True\n",
+    "  },\n",
+    "  \"gov.contrib.congress.wyden_smith.per_child_actc_phase_in\": {\n",
+    "    \"2023-01-01.2025-12-31\": True\n",
+    "  },\n",
+    "  \"gov.irs.credits.ctc.amount.base[0].amount\": {\n",
+    "    \"2024-01-01.2025-12-31\": 2100\n",
+    "  },\n",
+    "  \"gov.irs.credits.ctc.refundable.individual_max\": {\n",
+    "    \"2023-01-01.2023-12-31\": 1800,\n",
+    "    \"2024-01-01.2024-12-31\": 1900,\n",
+    "    \"2025-01-01.2025-12-31\": 2100\n",
+    "  }\n",
+    "}, country_id=\"us\")\n",
+    "\n",
+    "\n",
+    "baseline = Microsimulation(dataset=\"enhanced_cps_2022\")\n",
+    "reformed = Microsimulation(reform=reform, dataset=\"enhanced_cps_2022\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False    0.180463\n",
+       "True     0.180111\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "black = baseline.calc(\"cps_race\", 2024) == 2\n",
+    "baseline_pov = baseline.calc(\"in_poverty\", 2024)\n",
+    "reformed_pov = reformed.calc(\"in_poverty\", 2024)\n",
+    "\n",
+    "baseline_pov.groupby(black).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False    0.179157\n",
+       "True     0.177839\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reformed_pov.groupby(black).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "BLACK       0.178283\n",
+       "HISPANIC    0.173251\n",
+       "OTHER       0.187104\n",
+       "WHITE       0.181633\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "race = baseline.calc(\"race\", 2024)\n",
+    "baseline_pov.groupby(race).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'0.792.0'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pkg_resources\n",
+    "\n",
+    "pkg_resources.get_distribution(\n",
+    "    \"policyengine_us\"\n",
+    ").version"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "policyengine",
+   "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": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}