{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d0779a3a",
   "metadata": {},
   "source": [
    "# Machine Learning for Economic Forecasting: What Works?\n",
    "\n",
    "## Complete analysis notebook\n",
    "\n",
    "This notebook reproduces the quantitative analysis used in the U.S. pillar article.\n",
    "\n",
    "The main experiment is a one month ahead U.S. CPI inflation forecast comparison. The final holdout covers target months from February 2020 through September 2025.\n",
    "\n",
    "The models are:\n",
    "\n",
    "1. Naive last value forecast\n",
    "2. Autoregression\n",
    "3. Ridge regression\n",
    "4. Random forest\n",
    "5. Gradient boosting\n",
    "\n",
    "The notebook also reviews rolling forecast errors, shock period performance, the current U.S. economic context used in the article, and the gap between two live GDP nowcasts.\n",
    "\n",
    "### Important research note\n",
    "\n",
    "The inflation experiment is a revised data exercise. It is not a full real time ALFRED vintage backtest. Historical economic data can be revised, so strict production evaluation should use the values that were actually available on each forecast date.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f8812db5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:08.373800Z",
     "iopub.status.busy": "2026-08-27T04:42:08.373588Z",
     "iopub.status.idle": "2026-08-27T04:42:14.182535Z",
     "shell.execute_reply": "2026-08-27T04:42:14.181308Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error\n",
    "\n",
    "pd.set_option(\"display.max_columns\", 50)\n",
    "pd.set_option(\"display.width\", 150)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f9f2f1a",
   "metadata": {},
   "source": [
    "## 1. Current U.S. economic context used in the article\n",
    "\n",
    "These values are context for the forecasting discussion. They are not inputs to the historical CPI holdout test shown later.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "04c826aa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:14.185813Z",
     "iopub.status.busy": "2026-08-27T04:42:14.185407Z",
     "iopub.status.idle": "2026-08-27T04:42:14.202377Z",
     "shell.execute_reply": "2026-08-27T04:42:14.201446Z"
    }
   },
   "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>Signal</th>\n",
       "      <th>Value</th>\n",
       "      <th>Reference date</th>\n",
       "      <th>Source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Headline CPI</td>\n",
       "      <td>3.4 percent year over year</td>\n",
       "      <td>July 2026</td>\n",
       "      <td>BLS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Core CPI</td>\n",
       "      <td>2.5 percent year over year</td>\n",
       "      <td>July 2026</td>\n",
       "      <td>BLS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Unemployment rate</td>\n",
       "      <td>4.1 percent</td>\n",
       "      <td>July 2026</td>\n",
       "      <td>BLS and FRED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Real GDP</td>\n",
       "      <td>1.5 percent annual rate</td>\n",
       "      <td>Q2 2026 second estimate, Aug 26</td>\n",
       "      <td>BEA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Atlanta Fed GDPNow</td>\n",
       "      <td>4.61 percent annual rate</td>\n",
       "      <td>Q3 2026 update, Aug 26</td>\n",
       "      <td>Atlanta Fed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>St. Louis Fed GDP nowcast</td>\n",
       "      <td>1.93 percent annual rate</td>\n",
       "      <td>Q3 2026 update, Aug 21</td>\n",
       "      <td>St. Louis Fed</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Signal                       Value                   Reference date         Source\n",
       "0               Headline CPI  3.4 percent year over year                        July 2026            BLS\n",
       "1                   Core CPI  2.5 percent year over year                        July 2026            BLS\n",
       "2          Unemployment rate                 4.1 percent                        July 2026   BLS and FRED\n",
       "3                   Real GDP     1.5 percent annual rate  Q2 2026 second estimate, Aug 26            BEA\n",
       "4         Atlanta Fed GDPNow    4.61 percent annual rate           Q3 2026 update, Aug 26    Atlanta Fed\n",
       "5  St. Louis Fed GDP nowcast    1.93 percent annual rate           Q3 2026 update, Aug 21  St. Louis Fed"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference between the two Q3 GDP nowcasts: 2.68 percentage points\n"
     ]
    }
   ],
   "source": [
    "current_context = pd.DataFrame([\n",
    "    [\"Headline CPI\", \"3.4 percent year over year\", \"July 2026\", \"BLS\"],\n",
    "    [\"Core CPI\", \"2.5 percent year over year\", \"July 2026\", \"BLS\"],\n",
    "    [\"Unemployment rate\", \"4.1 percent\", \"July 2026\", \"BLS and FRED\"],\n",
    "    [\"Real GDP\", \"1.5 percent annual rate\", \"Q2 2026 second estimate, Aug 26\", \"BEA\"],\n",
    "    [\"Atlanta Fed GDPNow\", \"4.61 percent annual rate\", \"Q3 2026 update, Aug 26\", \"Atlanta Fed\"],\n",
    "    [\"St. Louis Fed GDP nowcast\", \"1.93 percent annual rate\", \"Q3 2026 update, Aug 21\", \"St. Louis Fed\"],\n",
    "], columns=[\"Signal\", \"Value\", \"Reference date\", \"Source\"])\n",
    "\n",
    "display(current_context)\n",
    "\n",
    "gdpnow_gap = 4.61 - 1.93\n",
    "print(f\"Difference between the two Q3 GDP nowcasts: {gdpnow_gap:.2f} percentage points\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f25ef4be",
   "metadata": {},
   "source": [
    "## 2. Forecast experiment design\n",
    "\n",
    "The article's inflation benchmark uses the official U.S. CPI year over year rate as the one month ahead target.\n",
    "\n",
    "Training sample after lag construction: January 1999 through December 2016.\n",
    "\n",
    "Validation period: January 2017 through December 2019.\n",
    "\n",
    "Final target holdout: February 2020 through September 2025.\n",
    "\n",
    "Feature families used in the companion experiment include headline CPI, core CPI, energy, food, shelter, rent, and owners equivalent rent. Annual changes, monthly changes, recent lags, and rolling averages were used.\n",
    "\n",
    "Every model saw the same target months. No random shuffle was used.\n",
    "\n",
    "Model settings reported in the article:\n",
    "\n",
    "* Ridge alpha: 10\n",
    "* Random forest trees: 600\n",
    "* Random forest maximum depth: 6\n",
    "* Random forest minimum leaf size: 6\n",
    "* Gradient boosting estimators: 400\n",
    "* Gradient boosting maximum depth: 2\n",
    "* Gradient boosting learning rate: 0.03\n",
    "* Tree model random seed: 42\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3fde2980",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:14.205568Z",
     "iopub.status.busy": "2026-08-27T04:42:14.205335Z",
     "iopub.status.idle": "2026-08-27T04:42:14.237863Z",
     "shell.execute_reply": "2026-08-27T04:42:14.236938Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Holdout rows: 68\n",
      "First target month: 2020-02-01\n",
      "Last target month: 2025-09-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\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>date</th>\n",
       "      <th>Actual</th>\n",
       "      <th>Ridge regression</th>\n",
       "      <th>Naive last value</th>\n",
       "      <th>Autoregression</th>\n",
       "      <th>Random forest</th>\n",
       "      <th>Gradient boosting</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-02-01</td>\n",
       "      <td>2.3349</td>\n",
       "      <td>2.6177</td>\n",
       "      <td>2.4866</td>\n",
       "      <td>2.5286</td>\n",
       "      <td>2.7088</td>\n",
       "      <td>2.7242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>1.5393</td>\n",
       "      <td>2.3644</td>\n",
       "      <td>2.3349</td>\n",
       "      <td>2.2257</td>\n",
       "      <td>2.4189</td>\n",
       "      <td>2.3506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>0.3291</td>\n",
       "      <td>1.1901</td>\n",
       "      <td>1.5393</td>\n",
       "      <td>1.2532</td>\n",
       "      <td>1.5375</td>\n",
       "      <td>1.4027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-05-01</td>\n",
       "      <td>0.1179</td>\n",
       "      <td>0.2055</td>\n",
       "      <td>0.3291</td>\n",
       "      <td>0.0294</td>\n",
       "      <td>-0.0121</td>\n",
       "      <td>-0.0489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-06-01</td>\n",
       "      <td>0.6457</td>\n",
       "      <td>0.1783</td>\n",
       "      <td>0.1179</td>\n",
       "      <td>0.3345</td>\n",
       "      <td>-0.0154</td>\n",
       "      <td>0.0111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date  Actual  Ridge regression  Naive last value  Autoregression  Random forest  Gradient boosting\n",
       "0 2020-02-01  2.3349            2.6177            2.4866          2.5286         2.7088             2.7242\n",
       "1 2020-03-01  1.5393            2.3644            2.3349          2.2257         2.4189             2.3506\n",
       "2 2020-04-01  0.3291            1.1901            1.5393          1.2532         1.5375             1.4027\n",
       "3 2020-05-01  0.1179            0.2055            0.3291          0.0294        -0.0121            -0.0489\n",
       "4 2020-06-01  0.6457            0.1783            0.1179          0.3345        -0.0154             0.0111"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "article_data = {\"dates\":[\"2020-02-01\",\"2020-03-01\",\"2020-04-01\",\"2020-05-01\",\"2020-06-01\",\"2020-07-01\",\"2020-08-01\",\"2020-09-01\",\"2020-10-01\",\"2020-11-01\",\"2020-12-01\",\"2021-01-01\",\"2021-02-01\",\"2021-03-01\",\"2021-04-01\",\"2021-05-01\",\"2021-06-01\",\"2021-07-01\",\"2021-08-01\",\"2021-09-01\",\"2021-10-01\",\"2021-11-01\",\"2021-12-01\",\"2022-01-01\",\"2022-02-01\",\"2022-03-01\",\"2022-04-01\",\"2022-05-01\",\"2022-06-01\",\"2022-07-01\",\"2022-08-01\",\"2022-09-01\",\"2022-10-01\",\"2022-11-01\",\"2022-12-01\",\"2023-01-01\",\"2023-02-01\",\"2023-03-01\",\"2023-04-01\",\"2023-05-01\",\"2023-06-01\",\"2023-07-01\",\"2023-08-01\",\"2023-09-01\",\"2023-10-01\",\"2023-11-01\",\"2023-12-01\",\"2024-01-01\",\"2024-02-01\",\"2024-03-01\",\"2024-04-01\",\"2024-05-01\",\"2024-06-01\",\"2024-07-01\",\"2024-08-01\",\"2024-09-01\",\"2024-10-01\",\"2024-11-01\",\"2024-12-01\",\"2025-01-01\",\"2025-02-01\",\"2025-03-01\",\"2025-04-01\",\"2025-05-01\",\"2025-06-01\",\"2025-07-01\",\"2025-08-01\",\"2025-09-01\"],\"series\":{\"Actual\":[2.3349,1.5393,0.3291,0.1179,0.6457,0.9861,1.3096,1.3713,1.1821,1.1745,1.362,1.3998,1.6762,2.6198,4.1597,4.9927,5.3915,5.3655,5.2513,5.3903,6.2219,6.809,7.0364,7.4799,7.8711,8.5425,8.2586,8.5815,9.0598,8.5248,8.2627,8.2017,7.7454,7.1103,6.4544,6.4101,6.0356,4.985,4.9303,4.0476,2.9692,3.1778,3.6651,3.6997,3.2411,3.1373,3.3521,3.0909,3.1532,3.4774,3.3574,3.269,2.9714,2.8948,2.5307,2.4406,2.5979,2.7494,2.8881,3.0005,2.8215,2.3907,2.3113,2.3549,2.6692,2.7049,2.9162,3.0127],\"Ridge regression\":[2.6177,2.3644,1.1901,0.2055,0.1783,0.798,0.9105,1.3229,1.2342,1.1776,1.2288,1.4907,1.339,1.6755,2.8106,4.7472,5.3228,5.9645,5.6426,5.1671,5.5842,6.6765,7.0287,7.0739,7.2959,7.7324,8.3961,7.8115,8.3664,8.8145,7.6677,7.5082,7.488,7.0933,6.229,5.5568,5.7713,5.3938,4.2986,4.511,3.7228,2.7487,3.146,3.4652,3.5894,3.0579,3.0607,3.3319,3.289,3.2031,3.4951,3.3563,3.1459,2.8378,2.803,2.6454,2.5066,2.7352,2.8638,2.8775,3.1141,2.8172,2.3196,2.3151,2.407,2.7389,2.7187,3.054],\"Naive last value\":[2.4866,2.3349,1.5393,0.3291,0.1179,0.6457,0.9861,1.3096,1.3713,1.1821,1.1745,1.362,1.3998,1.6762,2.6198,4.1597,4.9927,5.3915,5.3655,5.2513,5.3903,6.2219,6.809,7.0364,7.4799,7.8711,8.5425,8.2586,8.5815,9.0598,8.5248,8.2627,8.2017,7.7454,7.1103,6.4544,6.4101,6.0356,4.985,4.9303,4.0476,2.9692,3.1778,3.6651,3.6997,3.2411,3.1373,3.3521,3.0909,3.1532,3.4774,3.3574,3.269,2.9714,2.8948,2.5307,2.4406,2.5979,2.7494,2.8881,3.0005,2.8215,2.3907,2.3113,2.3549,2.6692,2.7049,2.9162],\"Autoregression\":[2.5286,2.2257,1.2532,0.0294,0.3345,0.9483,1.0679,1.4381,1.4103,1.2305,1.37,1.5735,1.496,1.8851,3.0077,4.59,4.9464,5.2931,5.139,5.0546,5.2593,6.2305,6.4989,6.6064,7.1934,7.498,8.3097,7.5441,8.3348,8.7048,7.6902,7.7543,7.6671,7.0633,6.4679,5.8402,6.1262,5.5204,4.3237,4.8764,3.4707,2.6121,3.4052,3.7431,3.6097,3.0322,3.2061,3.5033,2.9695,3.2493,3.5582,3.2181,3.223,2.7708,2.866,2.3477,2.4411,2.6307,2.7335,2.8925,2.984,2.7038,2.2507,2.3673,2.3754,2.7714,2.6163,2.9618],\"Random forest\":[2.7088,2.4189,1.5375,-0.0121,-0.0154,0.7069,1.1059,1.258,1.5115,1.2614,1.236,1.4259,1.5793,1.8384,2.7617,4.1927,4.251,4.2384,4.1713,4.2237,4.2231,4.4186,4.416,4.4156,4.4284,4.4211,4.4304,4.3034,4.3832,4.3841,4.2974,4.2804,4.2216,4.2245,4.0823,3.9224,3.9414,3.9301,3.9231,3.9313,3.8562,2.8753,3.169,3.1834,3.0951,2.9993,3.1093,3.1853,3.122,3.0656,3.0733,3.069,3.1616,2.7685,2.8467,2.6086,2.4449,2.6389,2.7559,2.7432,2.911,2.7115,2.3659,2.4034,2.3569,2.6079,2.6508,2.8894],\"Gradient boosting\":[2.7242,2.3506,1.4027,-0.0489,0.0111,0.9234,0.9609,1.161,1.3639,1.1757,1.179,1.32,1.4913,1.7075,2.5516,3.4588,3.7914,4.0781,3.8018,3.401,3.2973,3.6605,3.7866,3.4281,3.5059,3.5793,4.078,2.8459,3.1988,3.6029,2.8998,2.9252,2.9411,2.9363,3.0524,2.5953,2.9451,2.5515,2.3401,1.8938,1.9347,2.0723,2.8475,2.5564,2.6583,2.8035,2.8497,2.7963,2.8223,2.5624,2.4983,2.7355,2.8136,2.3378,2.5098,2.297,2.0582,2.2094,2.4262,2.4282,2.3054,2.3938,1.9896,2.4269,2.3536,2.1479,2.1236,2.5286]}}\n",
    "\n",
    "forecast_df = pd.DataFrame(article_data[\"series\"])\n",
    "forecast_df.insert(0, \"date\", pd.to_datetime(article_data[\"dates\"]))\n",
    "\n",
    "print(\"Holdout rows:\", len(forecast_df))\n",
    "print(\"First target month:\", forecast_df[\"date\"].min().date())\n",
    "print(\"Last target month:\", forecast_df[\"date\"].max().date())\n",
    "display(forecast_df.head())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08d8a99d",
   "metadata": {},
   "source": [
    "## 3. Recalculate MAE and RMSE\n",
    "\n",
    "The next cell recomputes the published model scores from the exact holdout forecast paths.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f7f2bb01",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:14.241963Z",
     "iopub.status.busy": "2026-08-27T04:42:14.241781Z",
     "iopub.status.idle": "2026-08-27T04:42:14.258101Z",
     "shell.execute_reply": "2026-08-27T04:42:14.257356Z"
    }
   },
   "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>Model</th>\n",
       "      <th>MAE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAE change versus naive</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ridge regression</td>\n",
       "      <td>0.3274</td>\n",
       "      <td>0.4324</td>\n",
       "      <td>6.4068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Autoregression</td>\n",
       "      <td>0.3320</td>\n",
       "      <td>0.4441</td>\n",
       "      <td>5.0829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Naive last value</td>\n",
       "      <td>0.3498</td>\n",
       "      <td>0.4744</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Random forest</td>\n",
       "      <td>1.1252</td>\n",
       "      <td>1.7605</td>\n",
       "      <td>-221.6782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gradient boosting</td>\n",
       "      <td>1.6136</td>\n",
       "      <td>2.3546</td>\n",
       "      <td>-361.2927</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Model     MAE    RMSE  MAE change versus naive\n",
       "0   Ridge regression  0.3274  0.4324                   6.4068\n",
       "1     Autoregression  0.3320  0.4441                   5.0829\n",
       "2   Naive last value  0.3498  0.4744                   0.0000\n",
       "3      Random forest  1.1252  1.7605                -221.6782\n",
       "4  Gradient boosting  1.6136  2.3546                -361.2927"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "actual = forecast_df[\"Actual\"].to_numpy()\n",
    "\n",
    "model_names = [\n",
    "    \"Ridge regression\",\n",
    "    \"Autoregression\",\n",
    "    \"Naive last value\",\n",
    "    \"Random forest\",\n",
    "    \"Gradient boosting\"\n",
    "]\n",
    "\n",
    "score_rows = []\n",
    "for model in model_names:\n",
    "    pred = forecast_df[model].to_numpy()\n",
    "    mae = mean_absolute_error(actual, pred)\n",
    "    rmse = mean_squared_error(actual, pred) ** 0.5\n",
    "    score_rows.append([model, mae, rmse])\n",
    "\n",
    "scores = pd.DataFrame(score_rows, columns=[\"Model\", \"MAE\", \"RMSE\"]).sort_values(\"MAE\")\n",
    "\n",
    "naive_mae = scores.loc[scores[\"Model\"] == \"Naive last value\", \"MAE\"].iloc[0]\n",
    "scores[\"MAE change versus naive\"] = (naive_mae - scores[\"MAE\"]) / naive_mae * 100\n",
    "\n",
    "display(scores.round(4))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9fcc4333",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:14.260922Z",
     "iopub.status.busy": "2026-08-27T04:42:14.260715Z",
     "iopub.status.idle": "2026-08-27T04:42:14.276232Z",
     "shell.execute_reply": "2026-08-27T04:42:14.275437Z"
    }
   },
   "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>Model</th>\n",
       "      <th>MAE</th>\n",
       "      <th>RMSE</th>\n",
       "      <th>MAE change versus naive</th>\n",
       "      <th>Published MAE</th>\n",
       "      <th>Published RMSE</th>\n",
       "      <th>MAE difference</th>\n",
       "      <th>RMSE difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ridge regression</td>\n",
       "      <td>0.327379</td>\n",
       "      <td>0.432355</td>\n",
       "      <td>6.406791</td>\n",
       "      <td>0.3274</td>\n",
       "      <td>0.4324</td>\n",
       "      <td>-0.000021</td>\n",
       "      <td>-0.000045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Autoregression</td>\n",
       "      <td>0.332010</td>\n",
       "      <td>0.444111</td>\n",
       "      <td>5.082886</td>\n",
       "      <td>0.3320</td>\n",
       "      <td>0.4441</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>0.000011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Naive last value</td>\n",
       "      <td>0.349790</td>\n",
       "      <td>0.474365</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3498</td>\n",
       "      <td>0.4744</td>\n",
       "      <td>-0.000010</td>\n",
       "      <td>-0.000035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Random forest</td>\n",
       "      <td>1.125197</td>\n",
       "      <td>1.760550</td>\n",
       "      <td>-221.678151</td>\n",
       "      <td>1.1252</td>\n",
       "      <td>1.7605</td>\n",
       "      <td>-0.000003</td>\n",
       "      <td>0.000050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Gradient boosting</td>\n",
       "      <td>1.613554</td>\n",
       "      <td>2.354623</td>\n",
       "      <td>-361.292709</td>\n",
       "      <td>1.6136</td>\n",
       "      <td>2.3546</td>\n",
       "      <td>-0.000046</td>\n",
       "      <td>0.000023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Model       MAE      RMSE  MAE change versus naive  Published MAE  Published RMSE  MAE difference  RMSE difference\n",
       "0   Ridge regression  0.327379  0.432355                 6.406791         0.3274          0.4324       -0.000021        -0.000045\n",
       "1     Autoregression  0.332010  0.444111                 5.082886         0.3320          0.4441        0.000010         0.000011\n",
       "2   Naive last value  0.349790  0.474365                 0.000000         0.3498          0.4744       -0.000010        -0.000035\n",
       "3      Random forest  1.125197  1.760550              -221.678151         1.1252          1.7605       -0.000003         0.000050\n",
       "4  Gradient boosting  1.613554  2.354623              -361.292709         1.6136          2.3546       -0.000046         0.000023"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The recalculated scores match the published rounded values.\n"
     ]
    }
   ],
   "source": [
    "published = pd.DataFrame({\n",
    "    \"Model\": [\"Ridge regression\", \"Autoregression\", \"Naive last value\", \"Random forest\", \"Gradient boosting\"],\n",
    "    \"Published MAE\": [0.3274, 0.332, 0.3498, 1.1252, 1.6136],\n",
    "    \"Published RMSE\": [0.4324, 0.4441, 0.4744, 1.7605, 2.3546]\n",
    "})\n",
    "\n",
    "check = scores.merge(published, on=\"Model\")\n",
    "check[\"MAE difference\"] = check[\"MAE\"] - check[\"Published MAE\"]\n",
    "check[\"RMSE difference\"] = check[\"RMSE\"] - check[\"Published RMSE\"]\n",
    "\n",
    "display(check.round(6))\n",
    "print(\"The recalculated scores match the published rounded values.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84c3a4ac",
   "metadata": {},
   "source": [
    "## 4. Main model comparison\n",
    "\n",
    "Ridge regression is the best model in this holdout, but the margin is small. Autoregression is nearly tied. The naive last value forecast remains a strong benchmark.\n",
    "\n",
    "The tree models perform much worse because the 2021 and 2022 inflation surge moved far beyond patterns that were common in the earlier training sample.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "de5ff36f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:14.278943Z",
     "iopub.status.busy": "2026-08-27T04:42:14.278759Z",
     "iopub.status.idle": "2026-08-27T04:42:14.518363Z",
     "shell.execute_reply": "2026-08-27T04:42:14.517245Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_scores = scores.sort_values(\"MAE\")\n",
    "\n",
    "plt.figure(figsize=(9, 5))\n",
    "plt.bar(plot_scores[\"Model\"], plot_scores[\"MAE\"])\n",
    "plt.title(\"One month ahead CPI forecast MAE\")\n",
    "plt.ylabel(\"MAE, percentage points\")\n",
    "plt.xticks(rotation=25, ha=\"right\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d90854eb",
   "metadata": {},
   "source": [
    "## 5. Actual inflation versus forecasts\n",
    "\n",
    "The first chart compares the three strongest forecasts.\n",
    "\n",
    "The second chart includes every model so the failure of the tree models during the inflation shock is visible.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1ce71bb5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:14.521346Z",
     "iopub.status.busy": "2026-08-27T04:42:14.521153Z",
     "iopub.status.idle": "2026-08-27T04:42:14.773704Z",
     "shell.execute_reply": "2026-08-27T04:42:14.772422Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(forecast_df[\"date\"], forecast_df[\"Actual\"], label=\"Actual CPI inflation\", linewidth=2.5)\n",
    "plt.plot(forecast_df[\"date\"], forecast_df[\"Ridge regression\"], label=\"Ridge regression\")\n",
    "plt.plot(forecast_df[\"date\"], forecast_df[\"Autoregression\"], label=\"Autoregression\")\n",
    "plt.plot(forecast_df[\"date\"], forecast_df[\"Naive last value\"], label=\"Naive last value\")\n",
    "plt.title(\"Actual CPI inflation and strongest one month ahead forecasts\")\n",
    "plt.xlabel(\"Target month\")\n",
    "plt.ylabel(\"Percent, year over year\")\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6730483a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:14.778159Z",
     "iopub.status.busy": "2026-08-27T04:42:14.777966Z",
     "iopub.status.idle": "2026-08-27T04:42:15.028421Z",
     "shell.execute_reply": "2026-08-27T04:42:15.027419Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(forecast_df[\"date\"], forecast_df[\"Actual\"], label=\"Actual CPI inflation\", linewidth=2.7)\n",
    "for model in model_names:\n",
    "    plt.plot(forecast_df[\"date\"], forecast_df[model], label=model, alpha=0.78)\n",
    "\n",
    "plt.title(\"Actual CPI inflation versus all forecast models\")\n",
    "plt.xlabel(\"Target month\")\n",
    "plt.ylabel(\"Percent, year over year\")\n",
    "plt.legend(ncol=2)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ff4b08b",
   "metadata": {},
   "source": [
    "## 6. Absolute forecast error\n",
    "\n",
    "Average scores can hide the months that matter most. This section calculates month by month absolute errors.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "98cfcb4c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:15.032640Z",
     "iopub.status.busy": "2026-08-27T04:42:15.032448Z",
     "iopub.status.idle": "2026-08-27T04:42:15.296123Z",
     "shell.execute_reply": "2026-08-27T04:42:15.295019Z"
    }
   },
   "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>date</th>\n",
       "      <th>Actual</th>\n",
       "      <th>Ridge regression</th>\n",
       "      <th>Autoregression</th>\n",
       "      <th>Naive last value</th>\n",
       "      <th>Random forest</th>\n",
       "      <th>Gradient boosting</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-02-01</td>\n",
       "      <td>2.3349</td>\n",
       "      <td>0.2828</td>\n",
       "      <td>0.1937</td>\n",
       "      <td>0.1517</td>\n",
       "      <td>0.3739</td>\n",
       "      <td>0.3893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>1.5393</td>\n",
       "      <td>0.8251</td>\n",
       "      <td>0.6864</td>\n",
       "      <td>0.7956</td>\n",
       "      <td>0.8796</td>\n",
       "      <td>0.8113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>0.3291</td>\n",
       "      <td>0.8610</td>\n",
       "      <td>0.9241</td>\n",
       "      <td>1.2102</td>\n",
       "      <td>1.2084</td>\n",
       "      <td>1.0736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-05-01</td>\n",
       "      <td>0.1179</td>\n",
       "      <td>0.0876</td>\n",
       "      <td>0.0885</td>\n",
       "      <td>0.2112</td>\n",
       "      <td>0.1300</td>\n",
       "      <td>0.1668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-06-01</td>\n",
       "      <td>0.6457</td>\n",
       "      <td>0.4674</td>\n",
       "      <td>0.3112</td>\n",
       "      <td>0.5278</td>\n",
       "      <td>0.6611</td>\n",
       "      <td>0.6346</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date  Actual  Ridge regression  Autoregression  Naive last value  Random forest  Gradient boosting\n",
       "0 2020-02-01  2.3349            0.2828          0.1937            0.1517         0.3739             0.3893\n",
       "1 2020-03-01  1.5393            0.8251          0.6864            0.7956         0.8796             0.8113\n",
       "2 2020-04-01  0.3291            0.8610          0.9241            1.2102         1.2084             1.0736\n",
       "3 2020-05-01  0.1179            0.0876          0.0885            0.2112         0.1300             0.1668\n",
       "4 2020-06-01  0.6457            0.4674          0.3112            0.5278         0.6611             0.6346"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "error_df = forecast_df[[\"date\", \"Actual\"]].copy()\n",
    "\n",
    "for model in model_names:\n",
    "    error_df[model] = (forecast_df[\"Actual\"] - forecast_df[model]).abs()\n",
    "\n",
    "display(error_df.head())\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "for model in model_names:\n",
    "    plt.plot(error_df[\"date\"], error_df[model], label=model, alpha=0.85)\n",
    "\n",
    "plt.title(\"Absolute one month ahead forecast error\")\n",
    "plt.xlabel(\"Target month\")\n",
    "plt.ylabel(\"Absolute error, percentage points\")\n",
    "plt.legend(ncol=2)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f70d68ed",
   "metadata": {},
   "source": [
    "## 7. Rolling 12 month MAE\n",
    "\n",
    "Rolling error shows whether the best model remains best through different economic regimes.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ee2a6f75",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:15.300282Z",
     "iopub.status.busy": "2026-08-27T04:42:15.300084Z",
     "iopub.status.idle": "2026-08-27T04:42:15.560773Z",
     "shell.execute_reply": "2026-08-27T04:42:15.559865Z"
    }
   },
   "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>date</th>\n",
       "      <th>Ridge regression</th>\n",
       "      <th>Autoregression</th>\n",
       "      <th>Naive last value</th>\n",
       "      <th>Random forest</th>\n",
       "      <th>Gradient boosting</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2025-05-01</td>\n",
       "      <td>0.144050</td>\n",
       "      <td>0.157542</td>\n",
       "      <td>0.176758</td>\n",
       "      <td>0.163908</td>\n",
       "      <td>0.325508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2025-06-01</td>\n",
       "      <td>0.151358</td>\n",
       "      <td>0.161058</td>\n",
       "      <td>0.178150</td>\n",
       "      <td>0.174083</td>\n",
       "      <td>0.338658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2025-07-01</td>\n",
       "      <td>0.149442</td>\n",
       "      <td>0.156267</td>\n",
       "      <td>0.174742</td>\n",
       "      <td>0.171642</td>\n",
       "      <td>0.338658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2025-08-01</td>\n",
       "      <td>0.143208</td>\n",
       "      <td>0.153317</td>\n",
       "      <td>0.162008</td>\n",
       "      <td>0.167425</td>\n",
       "      <td>0.402967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2025-09-01</td>\n",
       "      <td>0.129583</td>\n",
       "      <td>0.149817</td>\n",
       "      <td>0.162542</td>\n",
       "      <td>0.163700</td>\n",
       "      <td>0.431342</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date  Ridge regression  Autoregression  Naive last value  Random forest  Gradient boosting\n",
       "63 2025-05-01          0.144050        0.157542          0.176758       0.163908           0.325508\n",
       "64 2025-06-01          0.151358        0.161058          0.178150       0.174083           0.338658\n",
       "65 2025-07-01          0.149442        0.156267          0.174742       0.171642           0.338658\n",
       "66 2025-08-01          0.143208        0.153317          0.162008       0.167425           0.402967\n",
       "67 2025-09-01          0.129583        0.149817          0.162542       0.163700           0.431342"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rolling = pd.DataFrame({\"date\": forecast_df[\"date\"]})\n",
    "\n",
    "for model in model_names:\n",
    "    rolling[model] = error_df[model].rolling(12, min_periods=6).mean()\n",
    "\n",
    "display(rolling.tail())\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "for model in [\"Ridge regression\", \"Autoregression\", \"Naive last value\"]:\n",
    "    plt.plot(rolling[\"date\"], rolling[model], label=model)\n",
    "\n",
    "plt.title(\"Rolling 12 month mean absolute error\")\n",
    "plt.xlabel(\"Target month\")\n",
    "plt.ylabel(\"MAE, percentage points\")\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a84ea52a",
   "metadata": {},
   "source": [
    "## 8. Worst forecast months\n",
    "\n",
    "A useful forecasting report should show the largest misses instead of reporting only the average.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8828474d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:15.563921Z",
     "iopub.status.busy": "2026-08-27T04:42:15.563718Z",
     "iopub.status.idle": "2026-08-27T04:42:15.613856Z",
     "shell.execute_reply": "2026-08-27T04:42:15.612807Z"
    }
   },
   "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>Model</th>\n",
       "      <th>date</th>\n",
       "      <th>Absolute error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Autoregression</td>\n",
       "      <td>2021-04-01</td>\n",
       "      <td>1.1520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Autoregression</td>\n",
       "      <td>2022-03-01</td>\n",
       "      <td>1.0445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Autoregression</td>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>1.0374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Autoregression</td>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>0.9626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Autoregression</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>0.9241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Gradient boosting</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>5.8610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Gradient boosting</td>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>5.7356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Gradient boosting</td>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>5.3629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Gradient boosting</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>5.2765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Gradient boosting</td>\n",
       "      <td>2022-03-01</td>\n",
       "      <td>4.9632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Naive last value</td>\n",
       "      <td>2021-04-01</td>\n",
       "      <td>1.5399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Naive last value</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>1.2102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Naive last value</td>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>1.0784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Naive last value</td>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>1.0506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Naive last value</td>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>0.9436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Random forest</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>4.6766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Random forest</td>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>4.2781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Random forest</td>\n",
       "      <td>2022-07-01</td>\n",
       "      <td>4.1407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Random forest</td>\n",
       "      <td>2022-03-01</td>\n",
       "      <td>4.1214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Random forest</td>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>3.9653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ridge regression</td>\n",
       "      <td>2021-04-01</td>\n",
       "      <td>1.3491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ridge regression</td>\n",
       "      <td>2021-03-01</td>\n",
       "      <td>0.9443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ridge regression</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>0.8610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ridge regression</td>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>0.8533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ridge regression</td>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>0.8251</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Model       date  Absolute error\n",
       "5      Autoregression 2021-04-01          1.1520\n",
       "6      Autoregression 2022-03-01          1.0445\n",
       "7      Autoregression 2022-05-01          1.0374\n",
       "8      Autoregression 2021-10-01          0.9626\n",
       "9      Autoregression 2020-04-01          0.9241\n",
       "20  Gradient boosting 2022-06-01          5.8610\n",
       "21  Gradient boosting 2022-05-01          5.7356\n",
       "22  Gradient boosting 2022-08-01          5.3629\n",
       "23  Gradient boosting 2022-09-01          5.2765\n",
       "24  Gradient boosting 2022-03-01          4.9632\n",
       "10   Naive last value 2021-04-01          1.5399\n",
       "11   Naive last value 2020-04-01          1.2102\n",
       "12   Naive last value 2023-06-01          1.0784\n",
       "13   Naive last value 2023-03-01          1.0506\n",
       "14   Naive last value 2021-03-01          0.9436\n",
       "15      Random forest 2022-06-01          4.6766\n",
       "16      Random forest 2022-05-01          4.2781\n",
       "17      Random forest 2022-07-01          4.1407\n",
       "18      Random forest 2022-03-01          4.1214\n",
       "19      Random forest 2022-08-01          3.9653\n",
       "0    Ridge regression 2021-04-01          1.3491\n",
       "1    Ridge regression 2021-03-01          0.9443\n",
       "2    Ridge regression 2020-04-01          0.8610\n",
       "3    Ridge regression 2023-01-01          0.8533\n",
       "4    Ridge regression 2020-03-01          0.8251"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "worst_rows = []\n",
    "\n",
    "for model in model_names:\n",
    "    temp = error_df[[\"date\", model]].nlargest(5, model).copy()\n",
    "    temp[\"Model\"] = model\n",
    "    temp = temp.rename(columns={model: \"Absolute error\"})\n",
    "    worst_rows.append(temp)\n",
    "\n",
    "worst = pd.concat(worst_rows, ignore_index=True)\n",
    "display(worst[[\"Model\", \"date\", \"Absolute error\"]].sort_values([\"Model\", \"Absolute error\"], ascending=[True, False]).round(4))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7c13b36",
   "metadata": {},
   "source": [
    "## 9. Shock period versus later normalization\n",
    "\n",
    "The holdout contains two very different regimes.\n",
    "\n",
    "The first period covers February 2020 through December 2022, when inflation moved sharply.\n",
    "\n",
    "The second covers January 2023 through September 2025, when inflation moved back toward a lower range.\n",
    "\n",
    "This split helps show whether a model's average score comes from steady performance or from one severe failure period.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0a05a398",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:15.616447Z",
     "iopub.status.busy": "2026-08-27T04:42:15.616257Z",
     "iopub.status.idle": "2026-08-27T04:42:15.650845Z",
     "shell.execute_reply": "2026-08-27T04:42:15.649538Z"
    }
   },
   "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>Period</th>\n",
       "      <th>Normalization, Jan 2023 to Sep 2025</th>\n",
       "      <th>Shock period, Feb 2020 to Dec 2022</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Model</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Autoregression</th>\n",
       "      <td>0.251</td>\n",
       "      <td>0.408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gradient boosting</th>\n",
       "      <td>0.866</td>\n",
       "      <td>2.318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Naive last value</th>\n",
       "      <td>0.261</td>\n",
       "      <td>0.433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Random forest</th>\n",
       "      <td>0.402</td>\n",
       "      <td>1.807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ridge regression</th>\n",
       "      <td>0.255</td>\n",
       "      <td>0.396</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Period             Normalization, Jan 2023 to Sep 2025  Shock period, Feb 2020 to Dec 2022\n",
       "Model                                                                                     \n",
       "Autoregression                                   0.251                               0.408\n",
       "Gradient boosting                                0.866                               2.318\n",
       "Naive last value                                 0.261                               0.433\n",
       "Random forest                                    0.402                               1.807\n",
       "Ridge regression                                 0.255                               0.396"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "periods = {\n",
    "    \"Shock period, Feb 2020 to Dec 2022\": (pd.Timestamp(\"2020-02-01\"), pd.Timestamp(\"2022-12-01\")),\n",
    "    \"Normalization, Jan 2023 to Sep 2025\": (pd.Timestamp(\"2023-01-01\"), pd.Timestamp(\"2025-09-01\"))\n",
    "}\n",
    "\n",
    "period_rows = []\n",
    "\n",
    "for label, (start, end) in periods.items():\n",
    "    mask = forecast_df[\"date\"].between(start, end)\n",
    "    for model in model_names:\n",
    "        mae = mean_absolute_error(forecast_df.loc[mask, \"Actual\"], forecast_df.loc[mask, model])\n",
    "        rmse = mean_squared_error(forecast_df.loc[mask, \"Actual\"], forecast_df.loc[mask, model]) ** 0.5\n",
    "        period_rows.append([label, model, mae, rmse])\n",
    "\n",
    "period_scores = pd.DataFrame(period_rows, columns=[\"Period\", \"Model\", \"MAE\", \"RMSE\"])\n",
    "display(period_scores.pivot(index=\"Model\", columns=\"Period\", values=\"MAE\").round(3))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "869c1089",
   "metadata": {},
   "source": [
    "## 10. Which model leads through time?\n",
    "\n",
    "This diagnostic asks which of the three strongest methods has the lowest rolling 12 month MAE at each date where a full 12 month window is available.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "315ae323",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:15.653107Z",
     "iopub.status.busy": "2026-08-27T04:42:15.652926Z",
     "iopub.status.idle": "2026-08-27T04:42:15.810871Z",
     "shell.execute_reply": "2026-08-27T04:42:15.810290Z"
    }
   },
   "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>Rolling windows won</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leader</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Autoregression</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ridge regression</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Naive last value</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Rolling windows won\n",
       "Leader                               \n",
       "Autoregression                     30\n",
       "Ridge regression                   21\n",
       "Naive last value                   12"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "leaders = rolling.dropna(subset=[\"Ridge regression\", \"Autoregression\", \"Naive last value\"]).copy()\n",
    "leaders[\"Leader\"] = leaders[[\"Ridge regression\", \"Autoregression\", \"Naive last value\"]].idxmin(axis=1)\n",
    "\n",
    "leader_counts = leaders[\"Leader\"].value_counts()\n",
    "display(leader_counts.rename(\"Rolling windows won\").to_frame())\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "leader_counts.plot(kind=\"bar\")\n",
    "plt.title(\"Number of rolling windows won\")\n",
    "plt.xlabel(\"Model\")\n",
    "plt.ylabel(\"Rolling 12 month windows\")\n",
    "plt.xticks(rotation=20, ha=\"right\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4830c2e",
   "metadata": {},
   "source": [
    "## 11. Why the tree models failed in this experiment\n",
    "\n",
    "Random forest and gradient boosting are strong nonlinear learners, but standard tree predictions are built from outcomes inside learned regions. They do not naturally extend a trend far outside the target range seen during training.\n",
    "\n",
    "That weakness matters during a structural break. Inflation after 2020 rose rapidly and reached levels that were unusual relative to the earlier sample. Ridge and autoregression were still imperfect, but they adapted more smoothly because their functional form could extend beyond the exact historical range.\n",
    "\n",
    "This is not proof that tree models are poor economic forecasters. It is evidence that extrapolation risk must be tested.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "390a5600",
   "metadata": {},
   "source": [
    "## 12. Current nowcast disagreement\n",
    "\n",
    "The article uses two current third quarter 2026 GDP nowcasts to show that live models can disagree even when both are built for the same broad economic question.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9d5ceebf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:15.820485Z",
     "iopub.status.busy": "2026-08-27T04:42:15.820252Z",
     "iopub.status.idle": "2026-08-27T04:42:15.841347Z",
     "shell.execute_reply": "2026-08-27T04:42:15.840026Z"
    }
   },
   "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>Model</th>\n",
       "      <th>Q3 2026 real GDP growth nowcast</th>\n",
       "      <th>Update date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Atlanta Fed GDPNow</td>\n",
       "      <td>4.61</td>\n",
       "      <td>August 26, 2026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>St. Louis Fed Economic News Index</td>\n",
       "      <td>1.93</td>\n",
       "      <td>August 21, 2026</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Model  Q3 2026 real GDP growth nowcast      Update date\n",
       "0                 Atlanta Fed GDPNow                             4.61  August 26, 2026\n",
       "1  St. Louis Fed Economic News Index                             1.93  August 21, 2026"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nowcast range: 2.68 percentage points\n"
     ]
    }
   ],
   "source": [
    "nowcasts = pd.DataFrame([\n",
    "    [\"Atlanta Fed GDPNow\", 4.61, \"August 26, 2026\"],\n",
    "    [\"St. Louis Fed Economic News Index\", 1.93, \"August 21, 2026\"],\n",
    "], columns=[\"Model\", \"Q3 2026 real GDP growth nowcast\", \"Update date\"])\n",
    "\n",
    "display(nowcasts)\n",
    "print(f\"Nowcast range: {nowcasts['Q3 2026 real GDP growth nowcast'].max() - nowcasts['Q3 2026 real GDP growth nowcast'].min():.2f} percentage points\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6dbbdd25",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:15.843400Z",
     "iopub.status.busy": "2026-08-27T04:42:15.843206Z",
     "iopub.status.idle": "2026-08-27T04:42:15.954692Z",
     "shell.execute_reply": "2026-08-27T04:42:15.953493Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 5))\n",
    "plt.bar(nowcasts[\"Model\"], nowcasts[\"Q3 2026 real GDP growth nowcast\"])\n",
    "plt.title(\"Two current Q3 2026 U.S. GDP nowcasts\")\n",
    "plt.ylabel(\"Annualized real GDP growth, percent\")\n",
    "plt.xticks(rotation=20, ha=\"right\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "458a8559",
   "metadata": {},
   "source": [
    "## 13. Practical model choice framework\n",
    "\n",
    "The best first model depends on the data problem.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d2fe1aad",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:15.956805Z",
     "iopub.status.busy": "2026-08-27T04:42:15.956608Z",
     "iopub.status.idle": "2026-08-27T04:42:15.966095Z",
     "shell.execute_reply": "2026-08-27T04:42:15.965164Z"
    }
   },
   "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>Data situation</th>\n",
       "      <th>Model to test first</th>\n",
       "      <th>Main reason</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Small macro sample with correlated predictors</td>\n",
       "      <td>Ridge or Elastic Net</td>\n",
       "      <td>Stable shrinkage and good interpretability</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Strong persistence with few predictors</td>\n",
       "      <td>Naive baseline or autoregression</td>\n",
       "      <td>Simple models can be very hard to beat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Stable nonlinear relationships</td>\n",
       "      <td>Random forest or gradient boosting</td>\n",
       "      <td>Test extrapolation risk carefully</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Many models fail in different periods</td>\n",
       "      <td>Forecast ensemble</td>\n",
       "      <td>Can reduce dependence on one model</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Large high frequency feature set</td>\n",
       "      <td>Regularized model, boosting, or ensemble</td>\n",
       "      <td>Use strict timing and release calendars</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rare recession classification</td>\n",
       "      <td>Simple calibrated classifier first</td>\n",
       "      <td>Few recession episodes create severe class imb...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Very large data set with justified complexity</td>\n",
       "      <td>Neural network as a challenger</td>\n",
       "      <td>Do not assume it will beat simpler models</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  Data situation                       Model to test first                                        Main reason\n",
       "0  Small macro sample with correlated predictors                      Ridge or Elastic Net         Stable shrinkage and good interpretability\n",
       "1         Strong persistence with few predictors          Naive baseline or autoregression             Simple models can be very hard to beat\n",
       "2                 Stable nonlinear relationships        Random forest or gradient boosting                  Test extrapolation risk carefully\n",
       "3          Many models fail in different periods                         Forecast ensemble                 Can reduce dependence on one model\n",
       "4               Large high frequency feature set  Regularized model, boosting, or ensemble            Use strict timing and release calendars\n",
       "5                  Rare recession classification        Simple calibrated classifier first  Few recession episodes create severe class imb...\n",
       "6  Very large data set with justified complexity            Neural network as a challenger          Do not assume it will beat simpler models"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_choice = pd.DataFrame([\n",
    "    [\"Small macro sample with correlated predictors\", \"Ridge or Elastic Net\", \"Stable shrinkage and good interpretability\"],\n",
    "    [\"Strong persistence with few predictors\", \"Naive baseline or autoregression\", \"Simple models can be very hard to beat\"],\n",
    "    [\"Stable nonlinear relationships\", \"Random forest or gradient boosting\", \"Test extrapolation risk carefully\"],\n",
    "    [\"Many models fail in different periods\", \"Forecast ensemble\", \"Can reduce dependence on one model\"],\n",
    "    [\"Large high frequency feature set\", \"Regularized model, boosting, or ensemble\", \"Use strict timing and release calendars\"],\n",
    "    [\"Rare recession classification\", \"Simple calibrated classifier first\", \"Few recession episodes create severe class imbalance\"],\n",
    "    [\"Very large data set with justified complexity\", \"Neural network as a challenger\", \"Do not assume it will beat simpler models\"],\n",
    "], columns=[\"Data situation\", \"Model to test first\", \"Main reason\"])\n",
    "\n",
    "display(model_choice)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "113c76b2",
   "metadata": {},
   "source": [
    "## 14. Real time data and vintage data checklist\n",
    "\n",
    "A strict real time backtest should store the information set that existed on each forecast date.\n",
    "\n",
    "For each series, record:\n",
    "\n",
    "1. Series ID\n",
    "2. Release date\n",
    "3. Vintage date\n",
    "4. Frequency\n",
    "5. Transformation\n",
    "6. Lag used by the model\n",
    "7. Forecast target date\n",
    "8. Model version\n",
    "9. Forecast value\n",
    "10. Later realized value\n",
    "\n",
    "FRED and ALFRED vintage data should be used when the research question requires a realistic historical information set.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12abc776",
   "metadata": {},
   "source": [
    "## 15. Reproducibility summary\n",
    "\n",
    "The article's inflation benchmark uses:\n",
    "\n",
    "* One month ahead U.S. CPI year over year inflation\n",
    "* Training through December 2016 after lag construction\n",
    "* Validation from January 2017 through December 2019\n",
    "* Final holdout from February 2020 through September 2025\n",
    "* Same target months for all models\n",
    "* No random shuffle\n",
    "* Ridge alpha 10\n",
    "* Random forest with 600 trees, maximum depth 6, minimum leaf size 6\n",
    "* Gradient boosting with 400 estimators, depth 2, learning rate 0.03\n",
    "* Tree model seed 42\n",
    "* Revised historical data rather than a complete ALFRED vintage backtest\n",
    "\n",
    "The main result is that Ridge achieved an MAE near 0.327 percentage points, only modestly better than autoregression and the naive baseline. Tree models failed badly during the inflation shock. The lesson is that model complexity must earn its place in a fair time ordered test.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86858e59",
   "metadata": {},
   "source": [
    "## 16. Primary source list\n",
    "\n",
    "Google Search Central  \n",
    "https://developers.google.com/search/docs/fundamentals/creating-helpful-content\n",
    "\n",
    "FRED observations and vintage dates  \n",
    "https://fred.stlouisfed.org/docs/api/fred/series_observations.html\n",
    "\n",
    "BLS Consumer Price Index  \n",
    "https://www.bls.gov/cpi/\n",
    "\n",
    "BEA GDP  \n",
    "https://www.bea.gov/\n",
    "\n",
    "Atlanta Fed GDPNow  \n",
    "https://www.atlantafed.org/cqer/research/gdpnow\n",
    "\n",
    "St. Louis Fed Economic News Index  \n",
    "https://fred.stlouisfed.org/series/STLENI\n",
    "\n",
    "Federal Reserve research on machine learning and recession forecasting  \n",
    "https://www.federalreserve.gov/econres/feds/machine-learning-the-treasury-yield-curve-and-recession-forecasting.htm\n",
    "\n",
    "Federal Reserve research on real time U.S. inflation forecasting  \n",
    "https://www.federalreserve.gov/econres/feds/forecasting-us-inflation-in-real-time.htm\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cf13664",
   "metadata": {},
   "source": [
    "## 17. Export analysis tables\n",
    "\n",
    "Run the next cell to save the exact holdout forecasts, model scores, rolling errors, worst months, regime comparison, and current nowcast table.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "37070b17",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-27T04:42:15.968050Z",
     "iopub.status.busy": "2026-08-27T04:42:15.967869Z",
     "iopub.status.idle": "2026-08-27T04:42:15.981444Z",
     "shell.execute_reply": "2026-08-27T04:42:15.980214Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CSV analysis files exported.\n"
     ]
    }
   ],
   "source": [
    "forecast_df.to_csv(\"economic_forecasting_holdout_predictions.csv\", index=False)\n",
    "scores.to_csv(\"economic_forecasting_model_scores.csv\", index=False)\n",
    "rolling.to_csv(\"economic_forecasting_rolling_mae.csv\", index=False)\n",
    "worst.to_csv(\"economic_forecasting_worst_forecast_months.csv\", index=False)\n",
    "period_scores.to_csv(\"economic_forecasting_regime_scores.csv\", index=False)\n",
    "nowcasts.to_csv(\"current_gdp_nowcast_comparison_2026.csv\", index=False)\n",
    "\n",
    "print(\"CSV analysis files exported.\")\n"
   ]
  }
 ],
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