deploy: 67b305d

Author: bloebp

main/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 3df0b937a24a02a280e4789ca975775b
+config: ba93a84286e85bfe6ffdd618a3f1da6d
 tags: 645f666f9bcd5a90fca523b33c5a78b7

main/.doctrees/environment.pickle

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@@ -29,10 +29,10 @@
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@@ -60,10 +60,10 @@
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@@ -115,10 +115,10 @@
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@@ -170,10 +170,10 @@
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@@ -215,10 +215,10 @@
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    "outputs": [
@@ -256,7 +256,7 @@
       "Target units: ate\n",
       "\n",
       "## Estimate\n",
-      "Mean value: 3.9299885496595737\n",
+      "Mean value: 3.8636544758563276\n",
       "p-value: [0, 0.001]\n",
       "\n"
      ]
@@ -285,10 +285,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2023-09-04T06:02:10.661557Z"
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     }
    },
    "outputs": [
@@ -297,9 +297,9 @@
      "output_type": "stream",
      "text": [
       "Refute: Use a Placebo Treatment\n",
-      "Estimated effect:3.9299885496595737\n",
-      "New effect:0.0013675060219722095\n",
-      "p value:0.98\n",
+      "Estimated effect:3.8636544758563276\n",
+      "New effect:-0.021007457535599135\n",
+      "p value:0.8799999999999999\n",
       "\n"
      ]
     }
@@ -331,10 +331,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2023-09-04T06:02:10.739532Z"
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+     "shell.execute_reply": "2023-09-27T18:44:56.530481Z"
     }
    },
    "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>   0.886</td> \n",
+       "  <th>Dep. Variable:</th>         <td>income</td>      <th>  R-squared:         </th> <td>   0.875</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Model:</th>                 <td>IV2SLS</td>      <th>  Adj. R-squared:    </th> <td>   0.886</td> \n",
+       "  <th>Model:</th>                 <td>IV2SLS</td>      <th>  Adj. R-squared:    </th> <td>   0.875</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Method:</th>               <td>Two Stage</td>    <th>  F-statistic:       </th> <td>   1230.</td> \n",
+       "  <th>Method:</th>               <td>Two Stage</td>    <th>  F-statistic:       </th> <td>   1117.</td> \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th></th>                    <td>Least Squares</td>  <th>  Prob (F-statistic):</th> <td>3.26e-176</td>\n",
+       "  <th></th>                    <td>Least Squares</td>  <th>  Prob (F-statistic):</th> <td>5.48e-165</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Date:</th>             <td>Mon, 04 Sep 2023</td> <th>                     </th>     <td> </td>    \n",
+       "  <th>Date:</th>             <td>Wed, 27 Sep 2023</td> <th>                     </th>     <td> </td>    \n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Time:</th>                 <td>06:02:10</td>     <th>                     </th>     <td> </td>    \n",
+       "  <th>Time:</th>                 <td>18:44:56</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>   11.0448</td> <td>    1.065</td> <td>   10.375</td> <td> 0.000</td> <td>    8.956</td> <td>   13.134</td>\n",
+       "  <th>Intercept</th> <td>   11.1712</td> <td>    1.062</td> <td>   10.523</td> <td> 0.000</td> <td>    9.088</td> <td>   13.254</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>education</th> <td>    3.9300</td> <td>    0.112</td> <td>   35.068</td> <td> 0.000</td> <td>    3.710</td> <td>    4.150</td>\n",
+       "  <th>education</th> <td>    3.8637</td> <td>    0.116</td> <td>   33.427</td> <td> 0.000</td> <td>    3.637</td> <td>    4.090</td>\n",
        "</tr>\n",
        "</table>\n",
        "<table class=\"simpletable\">\n",
        "<tr>\n",
-       "  <th>Omnibus:</th>       <td> 1.457</td> <th>  Durbin-Watson:     </th> <td>   1.992</td>\n",
+       "  <th>Omnibus:</th>       <td> 2.041</td> <th>  Durbin-Watson:     </th> <td>   1.948</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Prob(Omnibus):</th> <td> 0.483</td> <th>  Jarque-Bera (JB):  </th> <td>   1.320</td>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.360</td> <th>  Jarque-Bera (JB):  </th> <td>   1.942</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Skew:</th>          <td> 0.071</td> <th>  Prob(JB):          </th> <td>   0.517</td>\n",
+       "  <th>Skew:</th>          <td> 0.045</td> <th>  Prob(JB):          </th> <td>   0.379</td>\n",
        "</tr>\n",
        "<tr>\n",
-       "  <th>Kurtosis:</th>      <td> 3.107</td> <th>  Cond. No.          </th> <td>    26.9</td>\n",
+       "  <th>Kurtosis:</th>      <td> 2.804</td> <th>  Cond. No.          </th> <td>    25.5</td>\n",
        "</tr>\n",
        "</table>"
       ],
       "text/latex": [
        "\\begin{center}\n",
        "\\begin{tabular}{lclc}\n",
        "\\toprule\n",
-       "\\textbf{Dep. Variable:}    &      income      & \\textbf{  R-squared:         } &     0.886   \\\\\n",
-       "\\textbf{Model:}            &      IV2SLS      & \\textbf{  Adj. R-squared:    } &     0.886   \\\\\n",
-       "\\textbf{Method:}           &    Two Stage     & \\textbf{  F-statistic:       } &     1230.   \\\\\n",
-       "\\textbf{}                  &  Least Squares   & \\textbf{  Prob (F-statistic):} & 3.26e-176   \\\\\n",
-       "\\textbf{Date:}             & Mon, 04 Sep 2023 & \\textbf{                     } &             \\\\\n",
-       "\\textbf{Time:}             &     06:02:10     & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Dep. Variable:}    &      income      & \\textbf{  R-squared:         } &     0.875   \\\\\n",
+       "\\textbf{Model:}            &      IV2SLS      & \\textbf{  Adj. R-squared:    } &     0.875   \\\\\n",
+       "\\textbf{Method:}           &    Two Stage     & \\textbf{  F-statistic:       } &     1117.   \\\\\n",
+       "\\textbf{}                  &  Least Squares   & \\textbf{  Prob (F-statistic):} & 5.48e-165   \\\\\n",
+       "\\textbf{Date:}             & Wed, 27 Sep 2023 & \\textbf{                     } &             \\\\\n",
+       "\\textbf{Time:}             &     18:44:56     & \\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} &      11.0448  &        1.065     &    10.375  &         0.000        &        8.956    &       13.134     \\\\\n",
-       "\\textbf{education} &       3.9300  &        0.112     &    35.068  &         0.000        &        3.710    &        4.150     \\\\\n",
+       "\\textbf{Intercept} &      11.1712  &        1.062     &    10.523  &         0.000        &        9.088    &       13.254     \\\\\n",
+       "\\textbf{education} &       3.8637  &        0.116     &    33.427  &         0.000        &        3.637    &        4.090     \\\\\n",
        "\\bottomrule\n",
        "\\end{tabular}\n",
        "\\begin{tabular}{lclc}\n",
-       "\\textbf{Omnibus:}       &  1.457 & \\textbf{  Durbin-Watson:     } &    1.992  \\\\\n",
-       "\\textbf{Prob(Omnibus):} &  0.483 & \\textbf{  Jarque-Bera (JB):  } &    1.320  \\\\\n",
-       "\\textbf{Skew:}          &  0.071 & \\textbf{  Prob(JB):          } &    0.517  \\\\\n",
-       "\\textbf{Kurtosis:}      &  3.107 & \\textbf{  Cond. No.          } &     26.9  \\\\\n",
+       "\\textbf{Omnibus:}       &  2.041 & \\textbf{  Durbin-Watson:     } &    1.948  \\\\\n",
+       "\\textbf{Prob(Omnibus):} &  0.360 & \\textbf{  Jarque-Bera (JB):  } &    1.942  \\\\\n",
+       "\\textbf{Skew:}          &  0.045 & \\textbf{  Prob(JB):          } &    0.379  \\\\\n",
+       "\\textbf{Kurtosis:}      &  2.804 & \\textbf{  Cond. No.          } &     25.5  \\\\\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:                       0.886\n",
-       "Model:                         IV2SLS   Adj. R-squared:                  0.886\n",
-       "Method:                     Two Stage   F-statistic:                     1230.\n",
-       "                        Least Squares   Prob (F-statistic):          3.26e-176\n",
-       "Date:                Mon, 04 Sep 2023                                         \n",
-       "Time:                        06:02:10                                         \n",
+       "Dep. Variable:                 income   R-squared:                       0.875\n",
+       "Model:                         IV2SLS   Adj. R-squared:                  0.875\n",
+       "Method:                     Two Stage   F-statistic:                     1117.\n",
+       "                        Least Squares   Prob (F-statistic):          5.48e-165\n",
+       "Date:                Wed, 27 Sep 2023                                         \n",
+       "Time:                        18:44:56                                         \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     11.0448      1.065     10.375      0.000       8.956      13.134\n",
-       "education      3.9300      0.112     35.068      0.000       3.710       4.150\n",
+       "Intercept     11.1712      1.062     10.523      0.000       9.088      13.254\n",
+       "education      3.8637      0.116     33.427      0.000       3.637       4.090\n",
        "==============================================================================\n",
-       "Omnibus:                        1.457   Durbin-Watson:                   1.992\n",
-       "Prob(Omnibus):                  0.483   Jarque-Bera (JB):                1.320\n",
-       "Skew:                           0.071   Prob(JB):                        0.517\n",
-       "Kurtosis:                       3.107   Cond. No.                         26.9\n",
+       "Omnibus:                        2.041   Durbin-Watson:                   1.948\n",
+       "Prob(Omnibus):                  0.360   Jarque-Bera (JB):                1.942\n",
+       "Skew:                           0.045   Prob(JB):                        0.379\n",
+       "Kurtosis:                       2.804   Cond. No.                         25.5\n",
        "==============================================================================\n",
        "\"\"\""
       ]