WorkingFolder/PythonCode/IncomeRisksEst.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Income Risks Estimation \n",
    "\n",
    "This notebook draws from the integrated moving average (IMA) process class to estimate the income risks using PSID data (annual/biennial) and SIPP panel (monthly)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import numpy.ma as ma\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import copy as cp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "## figure plotting configurations\n",
    "\n",
    "plt.style.use('seaborn')\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\" #'serif'\n",
    "plt.rcParams['font.serif'] = 'Ubuntu'\n",
    "plt.rcParams['font.monospace'] = 'Ubuntu Mono'\n",
    "plt.rcParams['axes.labelweight'] = 'bold'\n",
    "\n",
    "## Set the \n",
    "plt.rc('font', size=25)\n",
    "# Set the axes title font size\n",
    "plt.rc('axes', titlesize=20)\n",
    "# Set the axes labels font size\n",
    "plt.rc('axes', labelsize=20)\n",
    "# Set the font size for x tick labels\n",
    "plt.rc('xtick', labelsize=20)\n",
    "# Set the font size for y tick labels\n",
    "plt.rc('ytick', labelsize=20)\n",
    "# Set the legend font size\n",
    "plt.rc('legend', fontsize=20)\n",
    "# Set the font size of the figure title\n",
    "plt.rc('figure', titlesize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IncomeProcess import IMAProcess as ima"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "## creating an instance used for data estimation \n",
    "\n",
    "t = 10\n",
    "ma_nosa = np.array([1])  ## ma coefficient without serial correlation\n",
    "p_sigmas = np.random.uniform(0,1,t) ## allowing for time-variant shocks \n",
    "pt_ratio = 0.33\n",
    "t_sigmas = pt_ratio * p_sigmas # sizes of the time-varying permanent volatility\n",
    "sigmas = np.array([p_sigmas,\n",
    "                   t_sigmas])\n",
    "\n",
    "dt = ima(t = t,\n",
    "         ma_coeffs = ma_nosa)\n",
    "dt.sigmas = sigmas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "code_folding": [
     2
    ]
   },
   "outputs": [],
   "source": [
    "### define the general function\n",
    "\n",
    "def estimate_sample(sample):\n",
    "    \"\"\"\n",
    "    this function take a sample of the first differences of income in different periods (column) of all individuals (row)\n",
    "    and returns the estimates of the potentially time-varying permanent and transitory sigmas. \n",
    "    \"\"\"\n",
    "    data = np.array(sample)\n",
    "    data_mean = np.nanmean(data,axis=0)\n",
    "    data_var = ma.cov(ma.masked_invalid(data), rowvar=False)\n",
    "    moms_data = {'Mean':data_mean,\n",
    "                 'Var':data_var}\n",
    "    ## initialize \n",
    "    dt_data_est = cp.deepcopy(dt)\n",
    "    t_data = len(data_var)+1\n",
    "    dt_data_est.t = t_data\n",
    "    dt_data_est.GetDataMoments(moms_data)\n",
    "    para_guess_this = np.ones(2*t_data + dt_data_est.ma_q)\n",
    "    \n",
    "    ## estimation\n",
    "    data_para_est = dt_data_est.EstimatePara(method='BFGS',\n",
    "                               para_guess = para_guess_this)\n",
    "    \n",
    "    return data_para_est"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Estimation using SIPP data (yearly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "## SIPP data \n",
    "SIPP_Y = pd.read_stata('../OtherData/sipp/sipp_matrix_Y2Y.dta',\n",
    "                    convert_categoricals=False)   \n",
    "SIPP_Y.index = SIPP_Y['uniqueid']\n",
    "SIPP_Y = SIPP_Y.drop(['uniqueid'], axis=1)\n",
    "SIPP_Y = SIPP_Y.dropna(axis=0,how='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\want\\AppData\\Local\\Temp\\ipykernel_26448\\1399296623.py:11: RuntimeWarning: invalid value encountered in cast\n",
      "  age_groups = list(np.array(SIPP_Y.age_5yr.unique(),dtype='int32'))\n"
     ]
    }
   ],
   "source": [
    "## different samples \n",
    "\n",
    "education_groups = [1, #'HS dropout',\n",
    "                   2, # 'HS graduate',\n",
    "                   3] #'college graduates/above'\n",
    "gender_groups = [1, #'male',\n",
    "                2] #'female'\n",
    "\n",
    "#byear_groups = list(np.array(SIPP.byear_5yr.unique(),dtype='int32'))\n",
    "\n",
    "age_groups = list(np.array(SIPP_Y.age_5yr.unique(),dtype='int32'))\n",
    "\n",
    "group_by = ['educ','gender','age_5yr']\n",
    "all_drop = group_by #+['age_h','byear_5yr']\n",
    "\n",
    "## full sample \n",
    "sample_full =  SIPP_Y.drop(all_drop,axis=1)\n",
    "\n",
    "## sub sample \n",
    "sub_samples = []\n",
    "para_est_list = []\n",
    "sub_group_names = []\n",
    "\n",
    "for edu in education_groups:\n",
    "    for gender in gender_groups:\n",
    "        for age5 in age_groups:\n",
    "            belong = (SIPP_Y['educ']==edu) & (SIPP_Y['gender']==gender) & (SIPP_Y['age_5yr']==age5)\n",
    "            obs = np.sum(belong)\n",
    "            #print(obs)\n",
    "            if obs > 1:\n",
    "                sample = SIPP_Y.loc[belong].drop(all_drop,axis=1)\n",
    "                sub_samples.append(sample)\n",
    "                sub_group_names.append((edu,gender,age5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: Desired error not necessarily achieved due to precision loss.\n",
      "         Current function value: 0.000000\n",
      "         Iterations: 65\n",
      "         Function evaluations: 2851\n",
      "         Gradient evaluations: 142\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\want\\AppData\\Local\\Temp\\ipykernel_26448\\1300134485.py:9: RuntimeWarning: Mean of empty slice\n",
      "  data_mean = np.nanmean(data,axis=0)\n"
     ]
    }
   ],
   "source": [
    "## estimation for full sample \n",
    "\n",
    "data_para_est_full = estimate_sample(sample_full)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['lwage_id_shk_y2y_gr2014', 'lwage_id_shk_y2y_gr2015',\n",
       "       'lwage_id_shk_y2y_gr2016', 'lwage_id_shk_y2y_gr2017',\n",
       "       'lwage_id_shk_y2y_gr2018', 'lwage_id_shk_y2y_gr2019',\n",
       "       'lwage_id_shk_y2y_gr2020', 'lwage_id_shk_y2y_gr2021'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_full.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "## time stamp \n",
    "year_str = [string.replace('lwage_id_shk_y2y_gr','') for string in sample_full.columns if 'lwage_id_shk_y2y_gr' in string]\n",
    "years = np.array(year_str) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2014', '2015', '2016', '2017', '2018', '2019', '2020', '2021'],\n",
       "      dtype='<U4')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "code_folding": [
     3
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "whole sample\n",
      "Average permanent risk (std):  0.3244079599684159\n",
      "Average transitory risk (std):  0.23342083085344237\n"
     ]
    },
    {
     "data": {
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MChcunOr4hQsX1L59e1ksFjaRy+fopczxaCcMZ7VatXXrVlmt1pwuBXkcvQSj0EswCr0EI9BHMAq9hGQrV67UsWPHZLFYVKFCBb3++uuqVauWPD09df78ef3yyy9au3atunbtqqlTp6pmzZoprvf19c2hypHb0EuZI0hDKs2aNdONGzdyugy4AHoJRqGXYBR6CUagj2AUeglG+f777yVJFSpU0OLFi+Xv728/dv/99+v+++9X165dtWLFCg0fPlzBwcFq3ry5/RyLxWJ6zcid6KXMsWsnUunSpYtsNttd/wDoJRiFXoJR6CUYgT6CUeglGOXcuXOyWCzq27dviuDjTh4eHnr55Ze1cOFCffrpp1q5cqXJVSIvoJcyx4w0pNKlSxetWLFCNWrUUJs2beTn5ycPD8dbJS4uTtu2bdM333zjxCqRF9BLMAq9BKPQSzACfQSj0EswioeHhxISEvTAAw9kem7FihW1ZMkSjRw5UpGRkerbt68JFSKvoJcyR5CGVAoWLKhOnTopKChIjzzySLbGqFWrljZt2mRwZchr6CUYhV6CUeglGIE+glHoJRilcuXKOnLkiMLCwlS6dOlMz/fz89P777+vyZMna/r06XrttddMqBJ5Ab2UOR7tRJpefPFFnT17NtvXe3p6qkOHDgZWhLyKXoJR6CUYhV6CEegjGIVeghFefPFF2Ww2bd682eFrPDw8NGHCBMXHx+udd95xYnXIS+ilzFkiIyN5qB4AAAAAgDxs0aJFWrJkicaMGaPWrVtn6dp33nlHX3/9tSwWi/bt2+ekCpFX0EsZI0gDAAAAAMAFHDx4UCtWrJCXl5eGDx+uIkWKOHztW2+9pe+//95lww9kDb2UPoI0AAAAAABcSEJCgmw2m7y8vBy+JikpSbNnz9bQoUOdWBnyGnopNYI0AAAAAAAAwAHs2olMJSUl6fDhw/rf//6ns2fP6vr164qPj1ehQoUUEBCgUqVK6YknnlClSpVyulTkcvQSjEIvwSj0EoxAH8Eo9BKMQi/BKPRSasxIQ7qsVqs+//xzrVmzRlevXs30/CJFiui5557TCy+8kKVpn3B99BKMQi/BKPQSjEAfwSj0EoxCL8Eo9FL6CNKQptDQUA0dOlRnz56VzXa7RTw8PFSwYEF5eXkpKSlJVqtVN2/eVHx8vP06i8WicuXKadasWSpTpkxOlY9chF6CUeglGIVeghHoIxiFXoJR6CUYhV7KGEEaUrl27Zq6deum2NhYtWzZUnXr1tUDDzygokWLpnl+bGysLl68qFOnTunAgQP66aefFBAQoBUrVsjPz8/k6pGb0EswCr0Eo9BLMAJ9BKPQSzAKvQSj0EuZI0hDKlOnTtXVq1c1efJkFShQIMvXR0REKDg4WE888YT69OnjhAqRV9BLMAq9BKPQSzACfQSj0EswCr0Eo9BLmSNIQyotW7bUqlWrVLBgwWyPce7cOQ0dOlRr1qwxsDLkNfQSjEIvwSj0EoxAH8Eo9BKMQi/BKPRS5txyugDkPklJSfL29r6rMcqUKaPIyEhjCkKeRS/BKPQSjEIvwQj0EYxCL8Eo9BKMQi9ljiANqVSpUkXLli27qzHWrFmj8uXLG1QR8ip6CUahl2AUeglGoI9gFHoJRqGXYBR6KXMeOV0Acp/evXvrlVde0V9//aXOnTurRo0a8vDIvFVsNpuOHDmidevWaevWrZo+fboJ1SI3o5dgFHoJRqGXYAT6CEahl2AUeglGoZcyxxppSNOmTZs0depUJSUlycPDQ2XLllWJEiVUrFgxFShQQD4+PpKkuLg4Xb16VRcuXNCpU6d069YtSdKAAQPUtWvXnHwLyCXoJRiFXoJR6CUYgT6CUeglGIVeglHopYwRpCFdv/32m6ZNm6ZTp05JkiwWS7rn2my326hixYp68803VbNmTVNqRN5AL8Eo9BKMQi/BCPQRjEIvwSj0EoxCL6WPIA2ZOnz4sH755Rft27dPFy5csKfMkuTm5qYyZcqoevXqatKkierXr5+DlSK3o5dgFHoJRqGXYAT6CEahl2AUeglGoZdSI0hDlsXHxysqKkqenp7y9/d36HlpIC30EoxCL8Eo9BKMQB/BKPQSjEIvwSj0EkEaDLZt2zYlJCToqaeesj83DWQHvQSj0EswCr0EI9BHMAq9BKPQSzBKfuklgjSkKy4uTj/88IOOHz8ub29vVaxYUY0bN5a/v3+61yQmJmrQoEH63//+p6CgII0fP97EipFb0UswCr0Eo9BLMAJ9BKPQSzAKvQSj0EvpI0hDmk6cOKE333xTYWFhKV739PRUp06d1KtXr3T/B9q/f78GDhwoi8Wiffv2mVEucjF6CUahl2AUeglGoI9gFHoJRqGXYBR6KWNuOV0Acp/w8HANHDhQYWFhstlscnNzU6VKlfTII4/I19dXX3zxhZ5//nkdOHAgzesrVKhgbsHIteglGIVeglHoJRiBPoJR6CUYhV6CUeilzOW/VeGQqc8++0zXrl2TxWLRM888oyFDhuiee+6xH//jjz+0cuVKDR48WH369NHLL7+c4npvb2+zS0YuRS/BKPQSjEIvwQj0EYxCL8Eo9BKMQi9ljiANqezevVsWi0UNGjTQpEmTUh2vWrWqqlatqt9//11Tp07VhQsXNHLkSFkslhyoFrkZvQSj0EswCr0EI9BHMAq9BKPQSzAKvZQ5Hu1EKleuXJEkvfTSSxmeV61aNX322We6deuWRo0aJavVakZ5yEPoJRiFXoJR6CUYgT6CUeglGIVeglHopcwRpCGV5EUDixQpkum5Pj4+mjRpkipWrKjBgwcrNjbW2eUhD6GXYBR6CUbJz720ZcsWBQUFafr06TldSp5is9kUHBysZs2a6dChQ5Ky10clS5ZU586d1aZNG/3www9OrRl5R37+OwnGopdgFHopcwRpSOXxxx+XJJ05c8bha3r37q2mTZvqjTfeUHR0tJMqQ15DL8Eo9BKM0KhRI0VERCgpKUnPP/+8mjRpoiZNmqhevXqqU6eOnnjiCftrjRs3Vp06dVSnTh0tXrxYDz/8cJ7vpR9++EE3b97U5s2bc7oUp0lISNC8efM0dOhQ+5/fnT/q1aunoKAgdejQQUOGDNE333yT6SfoUVFR2rlzp6KiorRt2zZJWf87aeHChdq6davOnz+vsLCwfPMPDWSOr28wCr0Eo9BLmSNIQyo9e/aUp6envvjiiyxd1759e7Vv317Dhg1zUmXIa+glGIVewt2yWq2Ki4tT06ZN5eXlpWrVqmnbtm3atm2bqlevLkkqUaKE/bXt27dr69ateuONN+Tm5qY6derk+V566aWXVKVKFb3++us5XYrTeHp6ql+/fpo1a5bat29vf338+PH65ptv9P3332v+/PmqXbu2du/ercmTJ6t79+72x1jSEhgYqB49eqhatWrq2LGjpKz/ndS7d2998cUXcnd3lyStXLnyLt4lXAlf32AUeglGoZcyR5CGVO6//35NmzZNJ0+e1MSJE7P0qWnr1q3VvXv3fLXQINJHL8Eo9BLu1s2bN1W5cmVNnTpV06dPd6iXChYsqJdfflkdO3bUrVu38nwv1axZU59++qm6dOmS7jnjxo0zsSLneuCBB+w/f/jhh1W8eHEVKlRIlStX1qhRozRw4EBJ0qlTpzRixAjZbLZ0x+rXr58WL16sihUrSsre30n+/v4KDAyUJDVo0CDP9hGMxdc3GIVeglHopcwRpCFN9erV09q1a3Xfffdp4sSJCg0NdfjaVq1aKTg4OMNvSJF/0EswCr2EuxETE6MmTZrIYrGk6qW4uLgMr23atKliYmIkuXYvHTlyRL///ntOl2EYHx+fDI+/+OKLKlGihCTp6NGjOnjwYJbGz87fSR4eHpKk6tWru2wfIev4+gaj0EswCr2UMY+cLgC5V0BAgLp3756tazt16qSiRYsaXBHyKnoJRqGXkF1FihSxP5Ynpeylvn37Znht1apVU3wa64q9FBERoQkTJuR0GaZyc3NTlSpVdOnSJUnSyZMnVadOnSyNkdW/k9zc/u8zbFfsI2QfX99gFHoJRqGX0seMNDjNU089ldMlwEXQSzAKvZR/eXp6qmDBgoZd60q9FBkZqWHDhunixYs5XYrpEhMT7T/39PQ0/f6u1EfIWfQSjEIvwSiu3EvMSAMAAHBAXFyctm7dqrVr16p8+fIaP368li5dquXLl6tw4cKaPn26ypYtK0n67bfftGzZMp0+fVpXr16Vn5+fHn30UXXr1k3VqlVLMW5MTIw2bdqkVatW6ZVXXlHr1q21f/9+LVq0SCdOnFDp0qU1cOBA1atXL1VNhw8f1oIFC3TixAnFxMTYH6N48sknNWPGDPt5CQkJ2r59u9avXy+bzab58+dLkk6cOKGxY8faQ7RLly6pSZMmkqSHHnrIfl6yXbt2ae3atTp9+rQiIyNVrFgxNWrUSN26ddO9996b4tzExET7+VarVfPnz9emTZs0f/58eXh4qEOHDpo7d26KaywWi4YOHZpiHbe+ffvq8OHD9l9/+OGHqlu3rgN/YhmLjY3VkSNH7Pd94okn0jzv8uXL+uabb7Rx40a99tprat26dYrjFy9e1Jw5c3TgwAHFxMTYdwH19/e37/KZkaioKDVv3jxFqOfm5qbJkyerWbNm2X17AADASQjSAAAAMvH111/r888/V0hIiCSpXLly+vTTT/X5558rOjpaUVFR+vbbb9WnTx999dVXmjFjhtq2baspU6bIzc1Nq1ev1gcffKDdu3fr888/1/333y9JWrJkiTZs2JBiNtiKFSs0b9483XvvvYqPj9fff/+t4OBgrVq1SmXKlLGf9+uvv2rQoEEaNWqUnnnmGVmtVv3888967733UtT+yy+/aPny5Tpy5IhsNptq1qxpP/bggw/qq6++0qZNmzRp0iSVKFFCGzZsSPX+rVar3nvvPW3fvl3jx49XgwYNFBMTo+XLl2vJkiX65ptv9P7776tq1aqSpO3bt2vRokU6efKkpNsbHWzZskXvv/++bty4IUk6ffq0ZsyYodGjRys+Pl7u7u5as2aNSpcuneLeH3/8scaPH6+ff/5ZH3zwQYr6syspKUnvvfeeoqKiJEldunRR+fLlU5334YcfauvWrenO1ouMjNRrr72moKAgffPNN/Ly8tLvv/+ud999N8OdQO8UEBCguXPnqm/fvqpcubL69++vmjVr2tdTAwAAuQuPdgIAAGSiXbt2WrNmjSpVqiRJ9hlZP/74o/r376/HH39czZo1U2xsrObMmSNJ6tatm3x8fOTl5aWuXbuqUqVKslqt+v777+3jvvjii1q6dKnc3d0lSd9++60uXLigTZs26ZtvvtGqVavk5+enhISEVAHXp59+qvvuu08tW7aUu7u7vL291bx5cwUHB6c4r2HDhvr444/VtGnTbL//zz77TBs2bNDo0aPVqFEjubm5yd/fX3379lWXLl10/fp1DR48WGFhYZKkxo0ba8WKFWrYsKEk6dq1a9q/f79++OEHjR07VjVq1FDbtm315JNPqmfPnpJuh1t+fn5p3j8yMlLPPvvsXYVoNptN4eHh+umnn/Tqq69q8+bN8vHxUZ8+fTRkyJA0rxk4cKC++OIL+5/Pv23YsEGXL1/W66+/Ll9fX7m7u6tGjRqaOXOmw4+K3rhxQ/Pnz1erVq30ySefqE6dOoRoAADkYgRpAAAADrBYLKpYsaIkKTo6Wm+88Ybc3d3VvXt3zZ8/XxUrVlRCQoKsVqvc3d0VEBCQ4vr77rtP0u1QKZmPj48CAwPt5z766KN68803dc8990iSypcvrwYNGkiS/vnnnxTjXbhwQefOnVN4eHiK15s3b67ChQunqr9UqVLZet9hYWFasmSJAgIC0lzvpE+fPvL19bUHQndKnnl39epVDRo0SO7u7nr22We1YMECeyj20ksvqWjRorLZbGnOhrt69aoOHTqUYrOIrOrVq5eeeuoptWrVSqNHj9axY8c0cuRIbdq0Sb169ZLFYkn3Wj8/v1R/lskuXLggSTp06FCK18uUKaNGjRplWtelS5fUu3dv1ahRQ2+99VaOrNMGAACyhiANAADAQckzhapVqyYvL69UxwsWLKgPPvhAH3zwQYrw5dKlS7p8+bKklAvcJ0sOUMqVK5fqWPHixSXdXkvtTuXLl1dMTIxee+017d692/66u7u7Ro0alWqctOp1xKZNm2S1WlWpUqUUu04m8/f3t4d9W7duVXx8vP1Y8vuqVKmSAgMD0xzfy8tLL774oiTpyy+/TLFDqiRt3LhRjz76qD3EzI558+Zp586d6t27t6Tbfwbnz59XoUKFHLo+vd+7ChUqSJLGjh2rVatW2ddHS34tI8ePH9err76qTp06qV+/fg7VAQAAch5BGgAAgIMymrmUrE6dOqpTp46SkpL0888/a/DgwZo5c6Y9ZEneEOBOaQVUyby9vSXdfvTxTr1795a/v79CQ0M1ZMgQ9ezZU7t27crK23FI8kL//v7+6Z5TpUoVSbc3ZDhz5kyW79GhQwcFBAQoIiJCX3/9tf31pKQkff311+rQoUOWx0xLjx49VL16dUm316Lbv3+/Q9el9+f+7LPP6v7779etW7c0c+ZMdejQQV999ZXi4uIyHO/AgQPq06ePPD091bx586y9CQAAkKMI0gAAAAy2a9cuvfDCCzp8+LDGjBmj6dOn22cvGeXBBx/U8uXL9eSTT0qSjh49qmHDhqlPnz4KDQ017D7JM+kyCoeKFCli/3lCQkKW7+Hr62vfqXP58uX2Mfbu3avY2Fj7TqJ3y93dXRMnTvx/7d15XJV1/v//55FdUDAVVFAMK7WyzHDXSbJNs0xBW0zNNpdy37UodbS+TpmT6Si5tqjllo59Yhpr0lxITbMybdRSAZUkQEQ5Hpbz+8MfZ0S2i8OFHPBxv924Ced6X+/rdew1DD55X9dbvr6+stvtev3115WSkuL0fL6+vlq6dKn69esnT09PnTlzRm+99Zb69u2r3bt3F3levXr15O7ursTERL366qsFQlIAAOC6CNIAAABMNH/+fI0fP17Dhw/X2LFjVbdu3XK7VoMGDfTWW29p6dKlat26tSRp//79Gjx4sGNHyrLy8fGRpGLDOW9vb8fnebeillbfvn3l6+urP/74Q5s3b5YkrV+/Xo888oipzw5r0KCBY0OGP//8U9OnTy90laBRPj4+GjlypNatW6devXrJzc1Np0+f1ujRo7V///5Cz2nUqJH++te/ys3NTdu3b9d7773n9PUBAMC1RZAGAABgkq1bt2rFihVq3bq1Y8fK8jJz5kzH57fffrvmz5+vadOmyc3NTX/88Ue+WyTLonnz5pKkhISEAhsb5Ml7ftuNN96Yb3VaadSsWVO9evWSJK1YsUKJiYnatWuX4zUzPfzww7rvvvskSTt37tTKlSudmufdd9/V+fPnJV0OECdPnqylS5cqMDBQWVlZWrZsWZHntm/fXi+//LKky6vwPv/8c6dqAAAA1xZBGgAAuK7lrUYqy6qkPHnP3HJzcytyjFm38R06dMixa2Sebt26qU+fPpKk06dPG54r7xlghd2++fDDD0u6/Pfzf//3f4Wen7ej6KOPPmr4moV56qmn5OXlpVOnTmn8+PFq3bq1goODnZqrpP+ekyZNUmBgoKTLqwh/+umnUl8jOztbW7duzfda8+bNHSvezpw5U+z5/fr10yOPPCJJeuONN3TgwIFS1wAAAK4tgjQAAHBdy1tRlPdncfJ23ExPTy/0eI0aNSRdDtR27dolScrIyNCSJUv0zTffSLp8O6HNZtP69esd5124cEGS8u14ebWrQy673a7Zs2cXGFevXj1Jl5+hdqW83TALC8uqV68uSUpNTdXvv/+u7OxszZ49W1arVXfccYfjgfgffvhhgVVpWVlZ2rJli2666SbHc87ylPT3dbU6deo4gqWjR4+WaZOBK69Z2PVr1qyp1157TRaLRdnZ2Ro/fnyRGyXk/d1dvaOoJC1cuLDAbbT169eXVPC/QWZmpqT8/50nTZqk22+/XTabTePHj9fJkycNvDsAAFBRCNIAAMB1KW9XzbzVVBcuXNBnn33mCH+udurUKX3//feSpL179zo+v1LXrl3l5uamnJwcjRw5Uj169NBDDz2kixcvOlZ27d69W4899phj84Hdu3c7gp5vv/02X8iSmZmpuLg4SdKxY8f022+/5bvezp079corrzhWPh05ckSffPKJbrvtNvXo0cMxLiMjwxHsHTt2TMeOHcs3z6233io3NzfZ7XYNGDBA3bp1U0hIiOPZZ1OmTFF4eLjOnTun4cOH69ChQ5Kk5ORkvfLKK/Lw8NDf/vY3ubu7O+ZMS0tz7CL622+/acuWLYZW/fXv319ubm4KDAx0+vbYxMRE/fOf/3R8vWHDBmVkZBQY17p1a/Xr10+SlJKSoueee04rVqzIt9Jvz549Sk1NlXT51t2rw84//vhDw4cP188//yzpclA6f/58BQQE6MUXX3SM27lzp9LS0iRJO3bscOzi6uHhoUGDBkm6/Hc2bNgw7dmzx6n3DQAAyp8lLS2t7PcxAAAAVCKxsbH661//WugKMHd3dw0bNkxPP/2047W33npLn376aYGxd9xxhxYvXpzvta1bt2rBggU6deqUwsLCNHjwYHXo0EGHDh3S6NGj5e/vrwkTJujuu+/WkCFDtG/fvnznu7m5afLkyUpPT9f8+fMLBHsPPfSQpk+frn79+unIkSOO1319fRUUFKRu3brpiSeekJeXlyRp06ZNeuONNwrM8/DDD+u1115zfL1582YtWLBAdrtdTz75pAYMGJBvfG5urj777DNt3rxZv//+u7y8vBQYGKgHH3xQvXr1cqxqk6SPP/5Yf//73wv8fdWtW9fQs8BeeOEFtW3bVs8//3yJY6+UmZmp7t27O1b4XclisahJkyYFnoeWlZWlZ555Jt/fpSQNGzZM3333XYHA1M3NTX//+9/Vpk0bzZkzR6tXr3Yc8/LyUu3atdWuXTs9//zzjufF3X///QVWrbm5uWnChAm699579dBDDxX47+Pl5eUIIgEAgOtw+SAtPj5eixYt0vfff6+cnByFh4dr2LBhCgkJcWq+//73v4qJidH+/ftls9kUEhKinj17qm/fvqpWrfgFemlpaXr00UcLXdb/1FNPadSoUU7VBAAAgMv++OMPRUZGav369eW64ykAAIAzXPrWzri4OPXv31/e3t5as2aNNm7cKF9fX/Xv39+xfL40fvjhBz333HOOBwFfunRJx44d05w5cwp9xsjVVq5cWWiI5unpme+31gAAAHDOhg0b1L59e0I0AADgklx2RVpCQoKefvpphYSE6IMPPnCsFsvOztYTTzyh8+fP65NPPlFAQICh+c6dO6dBgwZpyJAhjueX/PLLL5o2bZrj2SgffPCBmjVrVuj5GRkZ6tu3r95++235+PjkO+bl5eV4qCwAAACcc+7cOUVGRmr27Nlq1apVRZcDAABQgMuuSJs7d64uXryoqKiofLdcuru7q3fv3kpNTdV7771neL5Vq1Zp1qxZeuCBBxxb0t9666168803HV/v37+/yPM//fRTdenSRc2bN1fjxo3zfRCiAQAAlN63336rAQMGaOrUqfrss880evRotWjRghANAAC4LJcM0hITE7Vt2zZJl3dTulq7du0kXX5QcN7uRyV59tlnC11tduONN6phw4aS/rdl/dWsVqtWr16tiIgIQ9cCAABAyT777DMdPnxY//73vzVr1iydP39er776akWXBQAAUCSXDNJ27twpSfLx8VFwcHCB46GhofLy8pLNZtPWrVsNzenp6VnsMV9fX91zzz2FHl+/fr3S0tL00ksvqXv37pozZ47i4+MNXRcAAACF69evn+rXr69atWqpV69eev/993XDDTdUdFkAAABFcq/oAgoTFxcnSQoKCir0uJubm+rWrauEhAT98ssv6tmzp9PXSktL0/HjxzV16tRCV6T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",
      "text/plain": [
       "<Figure size 1300x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plot estimate \n",
    "\n",
    "lw = 3\n",
    "for i,paras_est in enumerate([data_para_est_full]):\n",
    "    print('whole sample')\n",
    "    fig = plt.figure(figsize=([13,12]))\n",
    "    this_est = paras_est\n",
    "    p_risk = abs(this_est[1][0][1:])\n",
    "    p_risk[p_risk<1e-5]= np.nan ## replace non-identified with nan\n",
    "    print('Average permanent risk (std): ',str(np.nanmean(np.sqrt(p_risk))))\n",
    "    t_risk = abs(this_est[1][1][1:])\n",
    "    t_risk[t_risk<1e-5]= np.nan ## replace non-identified with nan\n",
    "    print('Average transitory risk (std): ',str(np.nanmean(np.sqrt(t_risk))))\n",
    "    plt.subplot(2,1,1)\n",
    "    plt.title('Permanent Risk')\n",
    "    plt.plot(years,\n",
    "             p_risk,\n",
    "             'bv',\n",
    "             markersize=20,\n",
    "             label='Estimation')\n",
    "    plt.ylim(0.0,0.5)\n",
    "    plt.ylabel('std of permanent risk')\n",
    "    plt.xticks(years,\n",
    "               rotation='vertical')\n",
    "    plt.grid(True)\n",
    "\n",
    "    plt.subplot(2,1,2)\n",
    "    plt.title('Transitory Risk')\n",
    "    plt.plot(years,\n",
    "             t_risk,\n",
    "             'bv',\n",
    "             markersize=20,\n",
    "             label='Estimation')\n",
    "    plt.xticks(years,\n",
    "               rotation='vertical')\n",
    "    plt.ylim(0.0,0.35)\n",
    "    plt.ylabel('std of transitory risk')\n",
    "    #plt.legend(loc=0)\n",
    "    plt.grid(True)\n",
    "    #plt.savefig('../Graphs/sipp/permanent-transitory-risk-yearly.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'YearlyPermanent': 0.3244079599684159, 'YearlyTransitory': 0.23342083085344237}\n"
     ]
    }
   ],
   "source": [
    "sipp_ests = {'YearlyPermanent':np.nanmean(np.sqrt(p_risk)),\n",
    "                   'YearlyTransitory':np.nanmean(np.sqrt(t_risk))}\n",
    "\n",
    "print(sipp_ests)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Estimation using SIPP data (quarterly)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "## SIPP data \n",
    "SIPP_Q = pd.read_stata('../OtherData/sipp/sipp_matrix_Q.dta',\n",
    "                    convert_categoricals=False)   \n",
    "SIPP_Q.index = SIPP_Q['uniqueid']\n",
    "SIPP_Q = SIPP_Q.drop(['uniqueid'], axis=1)\n",
    "SIPP_Q = SIPP_Q.dropna(axis=0,how='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "code_folding": [
     0,
     2,
     5
    ]
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\want\\AppData\\Local\\Temp\\ipykernel_21636\\3929378100.py:11: RuntimeWarning: invalid value encountered in cast\n",
      "  age_groups = list(np.array(SIPP_Q.age_5yr.unique(),dtype='int32'))\n"
     ]
    }
   ],
   "source": [
    "## different samples \n",
    "\n",
    "education_groups = [1, #'HS dropout',\n",
    "                   2, # 'HS graduate',\n",
    "                   3] #'college graduates/above'\n",
    "gender_groups = [1, #'male',\n",
    "                2] #'female'\n",
    "\n",
    "#byear_groups = list(np.array(SIPP.byear_5yr.unique(),dtype='int32'))\n",
    "\n",
    "age_groups = list(np.array(SIPP_Q.age_5yr.unique(),dtype='int32'))\n",
    "\n",
    "group_by = ['educ','gender','age_5yr']\n",
    "all_drop = group_by #+['age_h','byear_5yr']\n",
    "\n",
    "## full sample \n",
    "sample_full =  SIPP_Q.drop(all_drop,axis=1)\n",
    "\n",
    "## sub sample \n",
    "sub_samples = []\n",
    "para_est_list = []\n",
    "sub_group_names = []\n",
    "\n",
    "for edu in education_groups:\n",
    "    for gender in gender_groups:\n",
    "        for age5 in age_groups:\n",
    "            belong = (SIPP_Q['educ']==edu) & (SIPP_Q['gender']==gender) & (SIPP_Q['age_5yr']==age5)\n",
    "            obs = np.sum(belong)\n",
    "            #print(obs)\n",
    "            if obs > 1:\n",
    "                sample = SIPP_Q.loc[belong].drop(all_drop,axis=1)\n",
    "                sub_samples.append(sample)\n",
    "                sub_group_names.append((edu,gender,age5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\want\\AppData\\Local\\Temp\\ipykernel_21636\\1300134485.py:9: RuntimeWarning: Mean of empty slice\n",
      "  data_mean = np.nanmean(data,axis=0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.177780\n",
      "         Iterations: 71\n",
      "         Function evaluations: 5548\n",
      "         Gradient evaluations: 73\n"
     ]
    }
   ],
   "source": [
    "## estimation for full sample \n",
    "\n",
    "data_para_est_full = estimate_sample(sample_full)\n",
    "\n",
    "## time stamp \n",
    "quarter_str = [string.replace('lwage_Q_id_shk_gr','') for string in sample_full.columns if 'lwage_Q_id_shk_gr' in string]\n",
    "quarter_str = [qst[:4]+'Q'+qst[4:] for qst in quarter_str]\n",
    "quarters = np.array(quarter_str) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "whole sample\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plot estimate \n",
    "\n",
    "lw = 3\n",
    "for i,paras_est in enumerate([data_para_est_full]):\n",
    "    print('whole sample')\n",
    "    fig = plt.figure(figsize=([13,12]))\n",
    "    this_est = paras_est\n",
    "    p_risk = abs(this_est[1][0][1:])\n",
    "    t_risk = abs(this_est[1][1][1:])\n",
    "    p_risk[p_risk<1e-6]= np.nan\n",
    "    t_risk[t_risk<1e-6]= np.nan\n",
    "    plt.subplot(2,1,1)\n",
    "    plt.title('Permanent Risk')\n",
    "    plt.plot(quarters,\n",
    "             p_risk,\n",
    "             'c--o',\n",
    "             markersize=10,\n",
    "             #markerfacecolor='none',\n",
    "             lw=lw,\n",
    "             label='Estimation')\n",
    "    plt.ylabel('std of permanent risk')\n",
    "    plt.xticks(quarters,\n",
    "               rotation='vertical')\n",
    "    plt.grid(True)\n",
    "\n",
    "    plt.subplot(2,1,2)\n",
    "    plt.title('Transitory Risk')\n",
    "    plt.plot(quarters,\n",
    "             t_risk, \n",
    "             'c--o',\n",
    "             markersize=10,\n",
    "             #markerfacecolor='none',\n",
    "             lw=lw,\n",
    "             label='Estimation')\n",
    "    plt.xticks(quarters,\n",
    "               rotation='vertical')\n",
    "    plt.ylabel('std of transitory risk')\n",
    "    plt.legend(loc=0)\n",
    "    plt.grid(True)\n",
    "    plt.subplots_adjust(\n",
    "                    #left=0.1,\n",
    "                    #bottom=0.1, \n",
    "                    #right=0.9, \n",
    "                   # top=0.9, \n",
    "                    #wspace=0.4, \n",
    "                    hspace=0.4)\n",
    "    #plt.savefig('../Graphs/sipp/permanent-transitory-risk-quarterly.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'YearlyPermanent': 0.3244079599684159, 'YearlyTransitory': 0.23342083085344237, 'QuarterlyPermanent': 0.3137733590966246, 'QuarterlyTransitory': 0.12002208122483893}\n"
     ]
    }
   ],
   "source": [
    "sipp_ests['QuarterlyPermanent']=np.nanmean(np.sqrt(p_risk))\n",
    "sipp_ests['QuarterlyTransitory']=np.nanmean(np.sqrt(t_risk))\n",
    "\n",
    "print(sipp_ests)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{tabular}{lr}\n",
      "\\toprule\n",
      "{} &         0 \\\\\n",
      "\\midrule\n",
      "YearlyPermanent     &  0.324408 \\\\\n",
      "YearlyTransitory    &  0.233421 \\\\\n",
      "QuarterlyPermanent  &  0.313773 \\\\\n",
      "QuarterlyTransitory &  0.120022 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\want\\AppData\\Local\\Temp\\ipykernel_21636\\2163147389.py:4: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n",
      "  latex_table = sipp_est_df.to_latex(index=True)\n"
     ]
    }
   ],
   "source": [
    "sipp_est_df = pd.DataFrame.from_dict(sipp_ests, orient='index')\n",
    "\n",
    "# Export the DataFrame as LaTeX\n",
    "latex_table = sipp_est_df.to_latex(index=True)\n",
    "\n",
    "# Print or save the LaTeX table\n",
    "print(latex_table)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Estimation using SIPP data (monthly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "## SIPP data \n",
    "SIPP = pd.read_stata('../OtherData/sipp/sipp_matrix.dta',\n",
    "                    convert_categoricals=False)   \n",
    "SIPP.index = SIPP['uniqueid']\n",
    "SIPP = SIPP.drop(['uniqueid'], axis=1)\n",
    "SIPP = SIPP.dropna(axis=0,how='all')\n",
    "#SIPP = SIPP.dropna(axis=1,how='all')\n",
    "\n",
    "#SIPP=SIPP.dropna(subset=['byear_5yr'])\n",
    "#SIPP['byear_5yr'] = SIPP['byear_5yr'].astype('int32')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['gender', 'educ', 'age_5yr', 'lwage_id_shk_gr201303',\n",
       "       'lwage_id_shk_gr201304', 'lwage_id_shk_gr201305',\n",
       "       'lwage_id_shk_gr201306', 'lwage_id_shk_gr201307',\n",
       "       'lwage_id_shk_gr201308', 'lwage_id_shk_gr201309',\n",
       "       ...\n",
       "       'lwage_id_shk_gr202103', 'lwage_id_shk_gr202104',\n",
       "       'lwage_id_shk_gr202105', 'lwage_id_shk_gr202106',\n",
       "       'lwage_id_shk_gr202107', 'lwage_id_shk_gr202108',\n",
       "       'lwage_id_shk_gr202109', 'lwage_id_shk_gr202110',\n",
       "       'lwage_id_shk_gr202111', 'lwage_id_shk_gr202112'],\n",
       "      dtype='object', length=109)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SIPP.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender                   float32\n",
       "educ                     float32\n",
       "age_5yr                  float32\n",
       "lwage_id_shk_gr201303    float32\n",
       "lwage_id_shk_gr201304    float32\n",
       "                          ...   \n",
       "lwage_id_shk_gr202108    float32\n",
       "lwage_id_shk_gr202109    float32\n",
       "lwage_id_shk_gr202110    float32\n",
       "lwage_id_shk_gr202111    float32\n",
       "lwage_id_shk_gr202112    float32\n",
       "Length: 109, dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SIPP.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\want\\AppData\\Local\\Temp\\ipykernel_21636\\3185638613.py:11: RuntimeWarning: invalid value encountered in cast\n",
      "  age_groups = list(np.array(SIPP.age_5yr.unique(),dtype='int32'))\n"
     ]
    }
   ],
   "source": [
    "## different samples \n",
    "\n",
    "education_groups = [1, #'HS dropout',\n",
    "                   2, # 'HS graduate',\n",
    "                   3] #'college graduates/above'\n",
    "gender_groups = [1, #'male',\n",
    "                2] #'female'\n",
    "\n",
    "#byear_groups = list(np.array(SIPP.byear_5yr.unique(),dtype='int32'))\n",
    "\n",
    "age_groups = list(np.array(SIPP.age_5yr.unique(),dtype='int32'))\n",
    "\n",
    "group_by = ['educ','gender','age_5yr']\n",
    "all_drop = group_by #+['age_h','byear_5yr']\n",
    "\n",
    "## full sample \n",
    "sample_full =  SIPP.drop(all_drop,axis=1)\n",
    "\n",
    "## sub sample \n",
    "sub_samples = []\n",
    "para_est_list = []\n",
    "sub_group_names = []\n",
    "\n",
    "for edu in education_groups:\n",
    "    for gender in gender_groups:\n",
    "        for age5 in age_groups:\n",
    "            belong = (SIPP['educ']==edu) & (SIPP['gender']==gender) & (SIPP['age_5yr']==age5)\n",
    "            obs = np.sum(belong)\n",
    "            #print(obs)\n",
    "            if obs > 1:\n",
    "                sample = SIPP.loc[belong].drop(all_drop,axis=1)\n",
    "                sub_samples.append(sample)\n",
    "                sub_group_names.append((edu,gender,age5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "code_folding": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\want\\AppData\\Local\\Temp\\ipykernel_21636\\1300134485.py:9: RuntimeWarning: Mean of empty slice\n",
      "  data_mean = np.nanmean(data,axis=0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.038817\n",
      "         Iterations: 66\n",
      "         Function evaluations: 15336\n",
      "         Gradient evaluations: 71\n"
     ]
    }
   ],
   "source": [
    "## estimation for full sample \n",
    "\n",
    "data_para_est_full = estimate_sample(sample_full)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "code_folding": [],
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "## time stamp \n",
    "months_str = [string.replace('lwage_id_shk_gr','') for string in sample_full.columns if 'lwage_id_shk_gr' in string]\n",
    "months = np.array(months_str)\n",
    "#months_str2 = [mst[:4]+'M'+mst[4:] for mst in months_str]\n",
    "#months2 = np.array(months_str2) # notice I dropped the first month "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "code_folding": [
     0
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "whole sample\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plot estimate \n",
    "\n",
    "lw = 3\n",
    "for i,paras_est in enumerate([data_para_est_full]):\n",
    "    print('whole sample')\n",
    "    fig = plt.figure(figsize=([13,12]))\n",
    "    this_est = paras_est\n",
    "    p_risk = abs(this_est[1][0][1:])\n",
    "    t_risk = abs(this_est[1][1][1:])\n",
    "    p_risk[p_risk<1e-4]= np.nan\n",
    "    t_risk[t_risk<1e-4]= np.nan\n",
    "    p_risk_mv = (p_risk[0:-2]+p_risk[1:-1]+p_risk[2:])/3\n",
    "    t_risk_mv = (t_risk[0:-2]+t_risk[1:-1]+t_risk[2:])/3\n",
    "    plt.subplot(2,1,1)\n",
    "    plt.title('Permanent Risk')\n",
    "    plt.plot(months[2:],\n",
    "             p_risk_mv,\n",
    "             'r--o',\n",
    "             markersize=8,\n",
    "             lw=lw,\n",
    "             label='Estimation')\n",
    "    plt.ylabel('std of permanent risk')\n",
    "    plt.xticks(months[2::4],\n",
    "               rotation='vertical')\n",
    "    plt.grid(True)\n",
    "\n",
    "    plt.subplot(2,1,2)\n",
    "    plt.title('Transitory Risk')\n",
    "    plt.plot(months[2:],\n",
    "             t_risk_mv,\n",
    "             'r--o',\n",
    "             markersize=8,\n",
    "             lw=lw,\n",
    "             label='Estimation')\n",
    "    plt.xticks(months[2::4],\n",
    "               rotation='vertical')\n",
    "    plt.ylabel('std of transitory risk')\n",
    "    plt.legend(loc=0)\n",
    "    plt.grid(True)\n",
    "    plt.subplots_adjust(\n",
    "                    #left=0.1,\n",
    "                    #bottom=0.1, \n",
    "                    #right=0.9, \n",
    "                   # top=0.9, \n",
    "                    #wspace=0.4, \n",
    "                    hspace=0.4)\n",
    "    plt.savefig('../Graphs/sipp/permanent-transitory-risk.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "code_folding": [
     5
    ]
   },
   "outputs": [],
   "source": [
    "## generate a dataset of date, permanent and transitory \n",
    "\n",
    "est_df = pd.DataFrame()\n",
    "\n",
    "#vols_est_sub_group = pd.DataFrame([])\n",
    "for i,para_est in enumerate([data_para_est_full]):\n",
    "    #print(i)\n",
    "    #print(group_var)\n",
    "    times = len(months)\n",
    "    this_est = pd.DataFrame([list(months),\n",
    "                             np.abs(para_est[1][0]), \n",
    "                             np.abs(para_est[1][1])] \n",
    "                           ).transpose()\n",
    "    est_df = pd.concat([est_df,\n",
    "                        this_est])\n",
    "    \n",
    "    \n",
    "## post-processing\n",
    "est_df.columns = ['YM','permanent','transitory']\n",
    "est_df=est_df.dropna(how='any')\n",
    "for var in ['YM']:\n",
    "    est_df[var] = est_df[var].astype('int32')\n",
    "\n",
    "est_df['permanent']= est_df['permanent'].astype('float')\n",
    "est_df['transitory']=est_df['transitory'].astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YM</th>\n",
       "      <th>permanent</th>\n",
       "      <th>transitory</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>201303</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>201304</td>\n",
       "      <td>0.000294</td>\n",
       "      <td>0.001465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>201305</td>\n",
       "      <td>0.040364</td>\n",
       "      <td>0.050126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>201306</td>\n",
       "      <td>0.000468</td>\n",
       "      <td>0.000123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>201307</td>\n",
       "      <td>0.031429</td>\n",
       "      <td>0.025326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>202108</td>\n",
       "      <td>0.037665</td>\n",
       "      <td>0.000690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>202109</td>\n",
       "      <td>0.027844</td>\n",
       "      <td>0.022665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>202110</td>\n",
       "      <td>0.024992</td>\n",
       "      <td>0.020775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>202111</td>\n",
       "      <td>0.064436</td>\n",
       "      <td>0.033082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>202112</td>\n",
       "      <td>0.027483</td>\n",
       "      <td>0.010676</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>106 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         YM  permanent  transitory\n",
       "0    201303        NaN    0.000294\n",
       "1    201304   0.000294    0.001465\n",
       "2    201305   0.040364    0.050126\n",
       "3    201306   0.000468    0.000123\n",
       "4    201307   0.031429    0.025326\n",
       "..      ...        ...         ...\n",
       "101  202108   0.037665    0.000690\n",
       "102  202109   0.027844    0.022665\n",
       "103  202110   0.024992    0.020775\n",
       "104  202111   0.064436    0.033082\n",
       "105  202112   0.027483    0.010676\n",
       "\n",
       "[106 rows x 3 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## replace extreme values \n",
    "for date in [201303,201401,201501,201601,201701]:\n",
    "    est_df.loc[est_df['YM']==date,'permanent']=np.nan\n",
    "    \n",
    "est_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "est_df[['permanent','transitory']].plot(figsize=(13,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "## export to stata\n",
    "est_df.to_stata('../OtherData/sipp/sipp_history_vol_decomposed.dta')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "code_folding": [
     0
    ],
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\want\\AppData\\Local\\Temp\\ipykernel_21636\\1300134485.py:9: RuntimeWarning: Mean of empty slice\n",
      "  data_mean = np.nanmean(data,axis=0)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.067084\n",
      "         Iterations: 102\n",
      "         Function evaluations: 23112\n",
      "         Gradient evaluations: 107\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.067831\n",
      "         Iterations: 96\n",
      "         Function evaluations: 21168\n",
      "         Gradient evaluations: 98\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.014409\n",
      "         Iterations: 62\n",
      "         Function evaluations: 14256\n",
      "         Gradient evaluations: 66\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.010042\n",
      "         Iterations: 67\n",
      "         Function evaluations: 15552\n",
      "         Gradient evaluations: 72\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.010337\n",
      "         Iterations: 67\n",
      "         Function evaluations: 14904\n",
      "         Gradient evaluations: 69\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.079558\n",
      "         Iterations: 79\n",
      "         Function evaluations: 17712\n",
      "         Gradient evaluations: 82\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.288753\n",
      "         Iterations: 93\n",
      "         Function evaluations: 20736\n",
      "         Gradient evaluations: 96\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.018560\n",
      "         Iterations: 76\n",
      "         Function evaluations: 17280\n",
      "         Gradient evaluations: 80\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.017032\n",
      "         Iterations: 66\n",
      "         Function evaluations: 15336\n",
      "         Gradient evaluations: 71\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.030189\n",
      "         Iterations: 67\n",
      "         Function evaluations: 15336\n",
      "         Gradient evaluations: 71\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.004413\n",
      "         Iterations: 32\n",
      "         Function evaluations: 7560\n",
      "         Gradient evaluations: 35\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.006738\n",
      "         Iterations: 62\n",
      "         Function evaluations: 14688\n",
      "         Gradient evaluations: 68\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.026520\n",
      "         Iterations: 72\n",
      "         Function evaluations: 16416\n",
      "         Gradient evaluations: 76\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.029226\n",
      "         Iterations: 71\n",
      "         Function evaluations: 15984\n",
      "         Gradient evaluations: 74\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.001498\n",
      "         Iterations: 38\n",
      "         Function evaluations: 9504\n",
      "         Gradient evaluations: 44\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.010761\n",
      "         Iterations: 74\n",
      "         Function evaluations: 16848\n",
      "         Gradient evaluations: 78\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.267310\n",
      "         Iterations: 103\n",
      "         Function evaluations: 22680\n",
      "         Gradient evaluations: 105\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.111121\n",
      "         Iterations: 90\n",
      "         Function evaluations: 20304\n",
      "         Gradient evaluations: 94\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.552245\n",
      "         Iterations: 117\n",
      "         Function evaluations: 25704\n",
      "         Gradient evaluations: 119\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.035873\n",
      "         Iterations: 89\n",
      "         Function evaluations: 20520\n",
      "         Gradient evaluations: 95\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.123768\n",
      "         Iterations: 85\n",
      "         Function evaluations: 18792\n",
      "         Gradient evaluations: 87\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.082766\n",
      "         Iterations: 106\n",
      "         Function evaluations: 23328\n",
      "         Gradient evaluations: 108\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.038160\n",
      "         Iterations: 87\n",
      "         Function evaluations: 19440\n",
      "         Gradient evaluations: 90\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.127402\n",
      "         Iterations: 98\n",
      "         Function evaluations: 21816\n",
      "         Gradient evaluations: 101\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.117481\n",
      "         Iterations: 112\n",
      "         Function evaluations: 24840\n",
      "         Gradient evaluations: 115\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.037550\n",
      "         Iterations: 99\n",
      "         Function evaluations: 22032\n",
      "         Gradient evaluations: 102\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.017826\n",
      "         Iterations: 94\n",
      "         Function evaluations: 21384\n",
      "         Gradient evaluations: 99\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.140016\n",
      "         Iterations: 107\n",
      "         Function evaluations: 24408\n",
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      "Optimization terminated successfully.\n",
      "         Current function value: 0.062535\n",
      "         Iterations: 103\n",
      "         Function evaluations: 23112\n",
      "         Gradient evaluations: 107\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.143971\n",
      "         Iterations: 106\n",
      "         Function evaluations: 23328\n",
      "         Gradient evaluations: 108\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.011527\n",
      "         Iterations: 95\n",
      "         Function evaluations: 21168\n",
      "         Gradient evaluations: 98\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.108595\n",
      "         Iterations: 109\n",
      "         Function evaluations: 23976\n",
      "         Gradient evaluations: 111\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.078160\n",
      "         Iterations: 93\n",
      "         Function evaluations: 21600\n",
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      "Optimization terminated successfully.\n",
      "         Current function value: 0.022076\n",
      "         Iterations: 85\n",
      "         Function evaluations: 19872\n",
      "         Gradient evaluations: 92\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.071010\n",
      "         Iterations: 84\n",
      "         Function evaluations: 19224\n",
      "         Gradient evaluations: 89\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.557074\n",
      "         Iterations: 115\n",
      "         Function evaluations: 25272\n",
      "         Gradient evaluations: 117\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.345484\n",
      "         Iterations: 82\n",
      "         Function evaluations: 18144\n",
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      "Optimization terminated successfully.\n",
      "         Current function value: 0.324642\n",
      "         Iterations: 123\n",
      "         Function evaluations: 27000\n",
      "         Gradient evaluations: 125\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.067817\n",
      "         Iterations: 75\n",
      "         Function evaluations: 16848\n",
      "         Gradient evaluations: 78\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.103230\n",
      "         Iterations: 109\n",
      "         Function evaluations: 24840\n",
      "         Gradient evaluations: 115\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.044160\n",
      "         Iterations: 92\n",
      "         Function evaluations: 20304\n",
      "         Gradient evaluations: 94\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.200668\n",
      "         Iterations: 122\n",
      "         Function evaluations: 27000\n",
      "         Gradient evaluations: 125\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.068810\n",
      "         Iterations: 100\n",
      "         Function evaluations: 22896\n",
      "         Gradient evaluations: 106\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.198510\n",
      "         Iterations: 113\n",
      "         Function evaluations: 24840\n",
      "         Gradient evaluations: 115\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.233652\n",
      "         Iterations: 105\n",
      "         Function evaluations: 23760\n",
      "         Gradient evaluations: 110\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.963750\n",
      "         Iterations: 185\n",
      "         Function evaluations: 40608\n",
      "         Gradient evaluations: 188\n",
      "Optimization terminated successfully.\n",
      "         Current function value: 0.020930\n",
      "         Iterations: 62\n",
      "         Function evaluations: 14256\n",
      "         Gradient evaluations: 66\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.269400\n",
      "         Iterations: 116\n",
      "         Function evaluations: 25488\n",
      "         Gradient evaluations: 118\n"
     ]
    }
   ],
   "source": [
    "## estimation for sub-group\n",
    "\n",
    "for sample in sub_samples:\n",
    "    ## estimation\n",
    "    data_para_est = estimate_sample(sample)\n",
    "    para_est_list.append(data_para_est)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "## generate a dataset of year, edu, gender, byear_5yr permanent and transitory \n",
    "\n",
    "est_df = pd.DataFrame()\n",
    "\n",
    "#vols_est_sub_group = pd.DataFrame([])\n",
    "for i,para_est in enumerate(para_est_list):\n",
    "    #print(i)\n",
    "    group_var = sub_group_names[i]\n",
    "    #print(group_var)\n",
    "    times = len(months)\n",
    "    this_est = pd.DataFrame([[group_var[0]]*times,   ##educ\n",
    "                             [group_var[1]]*times,   ## gender \n",
    "                             [group_var[2]]*times,   ## age_5yr\n",
    "                             list(months),\n",
    "                             np.abs(para_est[1][0]), \n",
    "                             np.abs(para_est[1][1])] \n",
    "                           ).transpose()\n",
    "    est_df = pd.concat([est_df,\n",
    "                         this_est])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "## post-processing\n",
    "est_df.columns = group_by+['YM','permanent','transitory']\n",
    "est_df=est_df.dropna(how='any')\n",
    "for var in group_by+['YM']:\n",
    "    est_df[var] = est_df[var].astype('int32')\n",
    "    \n",
    "\n",
    "est_df['permanent']=est_df['permanent'].astype('float')\n",
    "est_df['transitory']=est_df['transitory'].astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "for date in [201303,201401,201501,201601,201701]:\n",
    "    est_df.loc[est_df['YM']==date,'permanent']=np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "## export to stata\n",
    "est_df.to_stata('../OtherData/sipp/sipp_history_vol_decomposed_edu_gender_age5.dta')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>educ</th>\n",
       "      <th>gender</th>\n",
       "      <th>age_5yr</th>\n",
       "      <th>YM</th>\n",
       "      <th>permanent</th>\n",
       "      <th>transitory</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>201303</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.001260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>201304</td>\n",
       "      <td>0.001260</td>\n",
       "      <td>0.001308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>201305</td>\n",
       "      <td>0.003556</td>\n",
       "      <td>0.007276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>201306</td>\n",
       "      <td>0.000639</td>\n",
       "      <td>0.006360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>201307</td>\n",
       "      <td>0.000667</td>\n",
       "      <td>0.007330</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   educ  gender  age_5yr      YM  permanent  transitory\n",
       "0     1       1       45  201303        NaN    0.001260\n",
       "1     1       1       45  201304   0.001260    0.001308\n",
       "2     1       1       45  201305   0.003556    0.007276\n",
       "3     1       1       45  201306   0.000639    0.006360\n",
       "4     1       1       45  201307   0.000667    0.007330"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "est_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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