deploy: 8c27fcd

Author: bloebp

main/.doctrees/dowhy.doctree

@@ -12,10 +12,10 @@
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@@ -29,10 +29,10 @@
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@@ -60,10 +60,10 @@
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@@ -115,10 +115,10 @@
    "execution_count": 4,
    "metadata": {
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@@ -170,10 +170,10 @@
    "execution_count": 5,
    "metadata": {
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-     "shell.execute_reply": "2023-11-02T19:08:40.941974Z"
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@@ -215,10 +215,10 @@
    "execution_count": 6,
    "metadata": {
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+     "shell.execute_reply": "2023-11-02T20:14:30.529167Z"
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    },
    "outputs": [
@@ -256,7 +256,7 @@
       "Target units: ate\n",
       "\n",
       "## Estimate\n",
-      "Mean value: 3.9275358858616265\n",
+      "Mean value: 3.9636456364965076\n",
       "p-value: [0, 0.001]\n",
       "\n"
      ]
@@ -285,10 +285,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2023-11-02T19:08:45.183707Z"
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+     "shell.execute_reply": "2023-11-02T20:14:31.067951Z"
     }
    },
    "outputs": [
@@ -297,9 +297,9 @@
      "output_type": "stream",
      "text": [
       "Refute: Use a Placebo Treatment\n",
-      "Estimated effect:3.9275358858616265\n",
-      "New effect:-0.00803238006412763\n",
-      "p value:0.94\n",
+      "Estimated effect:3.9636456364965076\n",
+      "New effect:-0.011077238328923891\n",
+      "p value:1.0\n",
       "\n"
      ]
     }
@@ -331,10 +331,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
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-     "iopub.status.idle": "2023-11-02T19:08:45.251295Z",
-     "shell.execute_reply": "2023-11-02T19:08:45.250576Z"
+     "iopub.execute_input": "2023-11-02T20:14:31.072869Z",
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+     "shell.execute_reply": "2023-11-02T20:14:31.133439Z"
     }
    },
    "outputs": [
@@ -344,22 +344,22 @@
        "<table class=\"simpletable\">\n",
        "<caption>IV2SLS Regression Results</caption>\n",
        "<tr>\n",
-       "  <th>Dep. Variable:</th>         <td>income</td>      <th>  R-squared:         </th> <td>   0.877</td> \n",
+       "  <th>Dep. Variable:</th>         <td>income</td>      <th>  R-squared:         </th> <td>   0.887</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Model:</th>                 <td>IV2SLS</td>      <th>  Adj. R-squared:    </th> <td>   0.877</td> \n",
+       "  <th>Model:</th>                 <td>IV2SLS</td>      <th>  Adj. R-squared:    </th> <td>   0.886</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Method:</th>               <td>Two Stage</td>    <th>  F-statistic:       </th> <td>   1142.</td> \n",
+       "  <th>Method:</th>               <td>Two Stage</td>    <th>  F-statistic:       </th> <td>   1182.</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th></th>                    <td>Least Squares</td>  <th>  Prob (F-statistic):</th> <td>1.60e-167</td>\n",
+       "  <th></th>                    <td>Least Squares</td>  <th>  Prob (F-statistic):</th> <td>1.73e-171</td>\n",
        "</tr>\n",
        "<tr>\n",
        "  <th>Date:</th>             <td>Thu, 02 Nov 2023</td> <th>                     </th>     <td> </td>    \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Time:</th>                 <td>19:08:45</td>     <th>                     </th>     <td> </td>    \n",
+       "  <th>Time:</th>                 <td>20:14:31</td>     <th>                     </th>     <td> </td>    \n",
        "</tr>\n",
        "<tr>\n",
        "  <th>No. Observations:</th>      <td>  1000</td>      <th>                     </th>     <td> </td>    \n",
@@ -376,37 +376,37 @@
        "      <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Intercept</th> <td>   10.2987</td> <td>    1.066</td> <td>    9.665</td> <td> 0.000</td> <td>    8.208</td> <td>   12.390</td>\n",
+       "  <th>Intercept</th> <td>   10.4975</td> <td>    1.064</td> <td>    9.866</td> <td> 0.000</td> <td>    8.409</td> <td>   12.586</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>education</th> <td>    3.9275</td> <td>    0.116</td> <td>   33.797</td> <td> 0.000</td> <td>    3.699</td> <td>    4.156</td>\n",
+       "  <th>education</th> <td>    3.9636</td> <td>    0.115</td> <td>   34.376</td> <td> 0.000</td> <td>    3.737</td> <td>    4.190</td>\n",
        "</tr>\n",
        "</table>\n",
        "<table class=\"simpletable\">\n",
        "<tr>\n",
-       "  <th>Omnibus:</th>       <td> 1.155</td> <th>  Durbin-Watson:     </th> <td>   1.963</td>\n",
+       "  <th>Omnibus:</th>       <td> 0.255</td> <th>  Durbin-Watson:     </th> <td>   1.980</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Prob(Omnibus):</th> <td> 0.561</td> <th>  Jarque-Bera (JB):  </th> <td>   1.025</td>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.880</td> <th>  Jarque-Bera (JB):  </th> <td>   0.284</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Skew:</th>          <td> 0.064</td> <th>  Prob(JB):          </th> <td>   0.599</td>\n",
+       "  <th>Skew:</th>          <td> 0.038</td> <th>  Prob(JB):          </th> <td>   0.867</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Kurtosis:</th>      <td> 3.091</td> <th>  Cond. No.          </th> <td>    26.0</td>\n",
+       "  <th>Kurtosis:</th>      <td> 2.968</td> <th>  Cond. No.          </th> <td>    25.9</td>\n",
        "</tr>\n",
        "</table>"
       ],
       "text/latex": [
        "\\begin{center}\n",
        "\\begin{tabular}{lclc}\n",
        "\\toprule\n",
-       "\\textbf{Dep. Variable:}    &      income      & \\textbf{  R-squared:         } &     0.877   \\\\\n",
-       "\\textbf{Model:}            &      IV2SLS      & \\textbf{  Adj. R-squared:    } &     0.877   \\\\\n",
-       "\\textbf{Method:}           &    Two Stage     & \\textbf{  F-statistic:       } &     1142.   \\\\\n",
-       "\\textbf{}                  &  Least Squares   & \\textbf{  Prob (F-statistic):} & 1.60e-167   \\\\\n",
+       "\\textbf{Dep. Variable:}    &      income      & \\textbf{  R-squared:         } &     0.887   \\\\\n",
+       "\\textbf{Model:}            &      IV2SLS      & \\textbf{  Adj. R-squared:    } &     0.886   \\\\\n",
+       "\\textbf{Method:}           &    Two Stage     & \\textbf{  F-statistic:       } &     1182.   \\\\\n",
+       "\\textbf{}                  &  Least Squares   & \\textbf{  Prob (F-statistic):} & 1.73e-171   \\\\\n",
        "\\textbf{Date:}             & Thu, 02 Nov 2023 & \\textbf{                     } &             \\\\\n",
-       "\\textbf{Time:}             &     19:08:45     & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Time:}             &     20:14:31     & \\textbf{                     } &             \\\\\n",
        "\\textbf{No. Observations:} &        1000      & \\textbf{                     } &             \\\\\n",
        "\\textbf{Df Residuals:}     &         998      & \\textbf{                     } &             \\\\\n",
        "\\textbf{Df Model:}         &           1      & \\textbf{                     } &             \\\\\n",
@@ -415,15 +415,15 @@
        "\\begin{tabular}{lcccccc}\n",
        "                   & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n",
        "\\midrule\n",
-       "\\textbf{Intercept} &      10.2987  &        1.066     &     9.665  &         0.000        &        8.208    &       12.390     \\\\\n",
-       "\\textbf{education} &       3.9275  &        0.116     &    33.797  &         0.000        &        3.699    &        4.156     \\\\\n",
+       "\\textbf{Intercept} &      10.4975  &        1.064     &     9.866  &         0.000        &        8.409    &       12.586     \\\\\n",
+       "\\textbf{education} &       3.9636  &        0.115     &    34.376  &         0.000        &        3.737    &        4.190     \\\\\n",
        "\\bottomrule\n",
        "\\end{tabular}\n",
        "\\begin{tabular}{lclc}\n",
-       "\\textbf{Omnibus:}       &  1.155 & \\textbf{  Durbin-Watson:     } &    1.963  \\\\\n",
-       "\\textbf{Prob(Omnibus):} &  0.561 & \\textbf{  Jarque-Bera (JB):  } &    1.025  \\\\\n",
-       "\\textbf{Skew:}          &  0.064 & \\textbf{  Prob(JB):          } &    0.599  \\\\\n",
-       "\\textbf{Kurtosis:}      &  3.091 & \\textbf{  Cond. No.          } &     26.0  \\\\\n",
+       "\\textbf{Omnibus:}       &  0.255 & \\textbf{  Durbin-Watson:     } &    1.980  \\\\\n",
+       "\\textbf{Prob(Omnibus):} &  0.880 & \\textbf{  Jarque-Bera (JB):  } &    0.284  \\\\\n",
+       "\\textbf{Skew:}          &  0.038 & \\textbf{  Prob(JB):          } &    0.867  \\\\\n",
+       "\\textbf{Kurtosis:}      &  2.968 & \\textbf{  Cond. No.          } &     25.9  \\\\\n",
        "\\bottomrule\n",
        "\\end{tabular}\n",
        "%\\caption{IV2SLS Regression Results}\n",
@@ -434,25 +434,25 @@
        "\"\"\"\n",
        "                          IV2SLS Regression Results                           \n",
        "==============================================================================\n",
-       "Dep. Variable:                 income   R-squared:                       0.877\n",
-       "Model:                         IV2SLS   Adj. R-squared:                  0.877\n",
-       "Method:                     Two Stage   F-statistic:                     1142.\n",
-       "                        Least Squares   Prob (F-statistic):          1.60e-167\n",
+       "Dep. Variable:                 income   R-squared:                       0.887\n",
+       "Model:                         IV2SLS   Adj. R-squared:                  0.886\n",
+       "Method:                     Two Stage   F-statistic:                     1182.\n",
+       "                        Least Squares   Prob (F-statistic):          1.73e-171\n",
        "Date:                Thu, 02 Nov 2023                                         \n",
-       "Time:                        19:08:45                                         \n",
+       "Time:                        20:14:31                                         \n",
        "No. Observations:                1000                                         \n",
        "Df Residuals:                     998                                         \n",
        "Df Model:                           1                                         \n",
        "==============================================================================\n",
        "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
        "------------------------------------------------------------------------------\n",
-       "Intercept     10.2987      1.066      9.665      0.000       8.208      12.390\n",
-       "education      3.9275      0.116     33.797      0.000       3.699       4.156\n",
+       "Intercept     10.4975      1.064      9.866      0.000       8.409      12.586\n",
+       "education      3.9636      0.115     34.376      0.000       3.737       4.190\n",
        "==============================================================================\n",
-       "Omnibus:                        1.155   Durbin-Watson:                   1.963\n",
-       "Prob(Omnibus):                  0.561   Jarque-Bera (JB):                1.025\n",
-       "Skew:                           0.064   Prob(JB):                        0.599\n",
-       "Kurtosis:                       3.091   Cond. No.                         26.0\n",
+       "Omnibus:                        0.255   Durbin-Watson:                   1.980\n",
+       "Prob(Omnibus):                  0.880   Jarque-Bera (JB):                0.284\n",
+       "Skew:                           0.038   Prob(JB):                        0.867\n",
+       "Kurtosis:                       2.968   Cond. No.                         25.9\n",
        "==============================================================================\n",
        "\"\"\""
       ]