deploy: b2e75a7

Author: bloebp

main/.doctrees/dowhy.gcm.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,
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@@ -170,10 +170,10 @@
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@@ -215,10 +215,10 @@
    "execution_count": 6,
    "metadata": {
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    "outputs": [
@@ -256,7 +256,7 @@
       "Target units: ate\n",
       "\n",
       "## Estimate\n",
-      "Mean value: 3.9641061599285914\n",
+      "Mean value: 4.116464918873208\n",
       "p-value: [0, 0.001]\n",
       "\n"
      ]
@@ -285,10 +285,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2023-11-17T15:19:52.806753Z"
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     }
    },
    "outputs": [
@@ -297,9 +297,9 @@
      "output_type": "stream",
      "text": [
       "Refute: Use a Placebo Treatment\n",
-      "Estimated effect:3.9641061599285914\n",
-      "New effect:0.0202658947431454\n",
-      "p value:1.0\n",
+      "Estimated effect:4.116464918873208\n",
+      "New effect:0.02070953332394378\n",
+      "p value:0.96\n",
       "\n"
      ]
     }
@@ -331,10 +331,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2023-11-17T15:19:52.862644Z"
+     "iopub.execute_input": "2023-11-17T17:51:37.582820Z",
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+     "shell.execute_reply": "2023-11-17T17:51:37.638811Z"
     }
    },
    "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>   0.887</td> \n",
+       "  <th>Dep. Variable:</th>         <td>income</td>      <th>  R-squared:         </th> <td>   0.903</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Model:</th>                 <td>IV2SLS</td>      <th>  Adj. R-squared:    </th> <td>   0.887</td> \n",
+       "  <th>Model:</th>                 <td>IV2SLS</td>      <th>  Adj. R-squared:    </th> <td>   0.903</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Method:</th>               <td>Two Stage</td>    <th>  F-statistic:       </th> <td>   1229.</td> \n",
+       "  <th>Method:</th>               <td>Two Stage</td>    <th>  F-statistic:       </th> <td>   1893.</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th></th>                    <td>Least Squares</td>  <th>  Prob (F-statistic):</th> <td>3.70e-176</td>\n",
+       "  <th></th>                    <td>Least Squares</td>  <th>  Prob (F-statistic):</th> <td>1.03e-232</td>\n",
        "</tr>\n",
        "<tr>\n",
        "  <th>Date:</th>             <td>Fri, 17 Nov 2023</td> <th>                     </th>     <td> </td>    \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Time:</th>                 <td>15:19:52</td>     <th>                     </th>     <td> </td>    \n",
+       "  <th>Time:</th>                 <td>17:51:37</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>   10.2967</td> <td>    1.024</td> <td>   10.060</td> <td> 0.000</td> <td>    8.288</td> <td>   12.305</td>\n",
+       "  <th>Intercept</th> <td>    8.9716</td> <td>    0.873</td> <td>   10.272</td> <td> 0.000</td> <td>    7.258</td> <td>   10.685</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>education</th> <td>    3.9641</td> <td>    0.113</td> <td>   35.059</td> <td> 0.000</td> <td>    3.742</td> <td>    4.186</td>\n",
+       "  <th>education</th> <td>    4.1165</td> <td>    0.095</td> <td>   43.506</td> <td> 0.000</td> <td>    3.931</td> <td>    4.302</td>\n",
        "</tr>\n",
        "</table>\n",
        "<table class=\"simpletable\">\n",
        "<tr>\n",
-       "  <th>Omnibus:</th>       <td> 2.166</td> <th>  Durbin-Watson:     </th> <td>   1.969</td>\n",
+       "  <th>Omnibus:</th>       <td> 7.452</td> <th>  Durbin-Watson:     </th> <td>   2.054</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Prob(Omnibus):</th> <td> 0.339</td> <th>  Jarque-Bera (JB):  </th> <td>   2.172</td>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.024</td> <th>  Jarque-Bera (JB):  </th> <td>   5.393</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Skew:</th>          <td> 0.038</td> <th>  Prob(JB):          </th> <td>   0.338</td>\n",
+       "  <th>Skew:</th>          <td> 0.031</td> <th>  Prob(JB):          </th> <td>  0.0674</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Kurtosis:</th>      <td> 3.215</td> <th>  Cond. No.          </th> <td>    25.3</td>\n",
+       "  <th>Kurtosis:</th>      <td> 2.646</td> <th>  Cond. No.          </th> <td>    25.3</td>\n",
        "</tr>\n",
        "</table>"
       ],
       "text/latex": [
        "\\begin{center}\n",
        "\\begin{tabular}{lclc}\n",
        "\\toprule\n",
-       "\\textbf{Dep. Variable:}    &      income      & \\textbf{  R-squared:         } &     0.887   \\\\\n",
-       "\\textbf{Model:}            &      IV2SLS      & \\textbf{  Adj. R-squared:    } &     0.887   \\\\\n",
-       "\\textbf{Method:}           &    Two Stage     & \\textbf{  F-statistic:       } &     1229.   \\\\\n",
-       "\\textbf{}                  &  Least Squares   & \\textbf{  Prob (F-statistic):} & 3.70e-176   \\\\\n",
+       "\\textbf{Dep. Variable:}    &      income      & \\textbf{  R-squared:         } &     0.903   \\\\\n",
+       "\\textbf{Model:}            &      IV2SLS      & \\textbf{  Adj. R-squared:    } &     0.903   \\\\\n",
+       "\\textbf{Method:}           &    Two Stage     & \\textbf{  F-statistic:       } &     1893.   \\\\\n",
+       "\\textbf{}                  &  Least Squares   & \\textbf{  Prob (F-statistic):} & 1.03e-232   \\\\\n",
        "\\textbf{Date:}             & Fri, 17 Nov 2023 & \\textbf{                     } &             \\\\\n",
-       "\\textbf{Time:}             &     15:19:52     & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Time:}             &     17:51:37     & \\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} &      10.2967  &        1.024     &    10.060  &         0.000        &        8.288    &       12.305     \\\\\n",
-       "\\textbf{education} &       3.9641  &        0.113     &    35.059  &         0.000        &        3.742    &        4.186     \\\\\n",
+       "\\textbf{Intercept} &       8.9716  &        0.873     &    10.272  &         0.000        &        7.258    &       10.685     \\\\\n",
+       "\\textbf{education} &       4.1165  &        0.095     &    43.506  &         0.000        &        3.931    &        4.302     \\\\\n",
        "\\bottomrule\n",
        "\\end{tabular}\n",
        "\\begin{tabular}{lclc}\n",
-       "\\textbf{Omnibus:}       &  2.166 & \\textbf{  Durbin-Watson:     } &    1.969  \\\\\n",
-       "\\textbf{Prob(Omnibus):} &  0.339 & \\textbf{  Jarque-Bera (JB):  } &    2.172  \\\\\n",
-       "\\textbf{Skew:}          &  0.038 & \\textbf{  Prob(JB):          } &    0.338  \\\\\n",
-       "\\textbf{Kurtosis:}      &  3.215 & \\textbf{  Cond. No.          } &     25.3  \\\\\n",
+       "\\textbf{Omnibus:}       &  7.452 & \\textbf{  Durbin-Watson:     } &    2.054  \\\\\n",
+       "\\textbf{Prob(Omnibus):} &  0.024 & \\textbf{  Jarque-Bera (JB):  } &    5.393  \\\\\n",
+       "\\textbf{Skew:}          &  0.031 & \\textbf{  Prob(JB):          } &   0.0674  \\\\\n",
+       "\\textbf{Kurtosis:}      &  2.646 & \\textbf{  Cond. No.          } &     25.3  \\\\\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:                       0.887\n",
-       "Model:                         IV2SLS   Adj. R-squared:                  0.887\n",
-       "Method:                     Two Stage   F-statistic:                     1229.\n",
-       "                        Least Squares   Prob (F-statistic):          3.70e-176\n",
+       "Dep. Variable:                 income   R-squared:                       0.903\n",
+       "Model:                         IV2SLS   Adj. R-squared:                  0.903\n",
+       "Method:                     Two Stage   F-statistic:                     1893.\n",
+       "                        Least Squares   Prob (F-statistic):          1.03e-232\n",
        "Date:                Fri, 17 Nov 2023                                         \n",
-       "Time:                        15:19:52                                         \n",
+       "Time:                        17:51:37                                         \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     10.2967      1.024     10.060      0.000       8.288      12.305\n",
-       "education      3.9641      0.113     35.059      0.000       3.742       4.186\n",
+       "Intercept      8.9716      0.873     10.272      0.000       7.258      10.685\n",
+       "education      4.1165      0.095     43.506      0.000       3.931       4.302\n",
        "==============================================================================\n",
-       "Omnibus:                        2.166   Durbin-Watson:                   1.969\n",
-       "Prob(Omnibus):                  0.339   Jarque-Bera (JB):                2.172\n",
-       "Skew:                           0.038   Prob(JB):                        0.338\n",
-       "Kurtosis:                       3.215   Cond. No.                         25.3\n",
+       "Omnibus:                        7.452   Durbin-Watson:                   2.054\n",
+       "Prob(Omnibus):                  0.024   Jarque-Bera (JB):                5.393\n",
+       "Skew:                           0.031   Prob(JB):                       0.0674\n",
+       "Kurtosis:                       2.646   Cond. No.                         25.3\n",
        "==============================================================================\n",
        "\"\"\""
       ]