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first_difference_regression_saxons.txt
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OLS Regression Results
==============================================================================
Dep. Variable: kommheard R-squared: 0.074
Model: OLS Adj. R-squared: 0.074
Method: Least Squares F-statistic: 376.8
Date: Wed, 24 Apr 2024 Prob (F-statistic): 4.40e-24
Time: 09:23:04 Log-Likelihood: -4469.6
No. Observations: 7211 AIC: 8943.
Df Residuals: 7209 BIC: 8957.
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.1291 0.008 16.358 0.000 0.113 0.145
treat 0.2775 0.014 19.412 0.000 0.249 0.306
==============================================================================
Omnibus: 37426.500 Durbin-Watson: 1.978
Prob(Omnibus): 0.000 Jarque-Bera (JB): 984.495
Skew: 0.623 Prob(JB): 1.66e-214
Kurtosis: 1.687 Cond. No. 3.40
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 898.888796843149), ('p-value', 1.7115244643672016e-197), ('f-value', 1026.6120364294916), ('f p-value', 1.0219781388199563e-210)]
OLS Regression Results
==============================================================================
Dep. Variable: kommgotten R-squared: 0.059
Model: OLS Adj. R-squared: 0.058
Method: Least Squares F-statistic: 363.5
Date: Wed, 24 Apr 2024 Prob (F-statistic): 9.36e-24
Time: 09:23:04 Log-Likelihood: -3105.3
No. Observations: 7211 AIC: 6215.
Df Residuals: 7209 BIC: 6228.
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.0385 0.004 8.867 0.000 0.030 0.047
treat 0.2020 0.011 19.065 0.000 0.181 0.223
==============================================================================
Omnibus: 1534.350 Durbin-Watson: 1.990
Prob(Omnibus): 0.000 Jarque-Bera (JB): 2720.702
Skew: 1.482 Prob(JB): 0.00
Kurtosis: 3.518 Cond. No. 3.40
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 668.6357142977475), ('p-value', 1.9783248325919476e-147), ('f-value', 736.7665042600214), ('f p-value', 1.4449286558823305e-154)]
OLS Regression Results
==============================================================================
Dep. Variable: kommused R-squared: 0.033
Model: OLS Adj. R-squared: 0.033
Method: Least Squares F-statistic: 459.6
Date: Wed, 24 Apr 2024 Prob (F-statistic): 6.59e-26
Time: 09:23:04 Log-Likelihood: -1748.0
No. Observations: 7211 AIC: 3500.
Df Residuals: 7209 BIC: 3514.
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.0243 0.003 8.208 0.000 0.018 0.030
treat 0.1237 0.006 21.438 0.000 0.112 0.135
==============================================================================
Omnibus: 3171.796 Durbin-Watson: 2.005
Prob(Omnibus): 0.000 Jarque-Bera (JB): 10900.838
Skew: 2.344 Prob(JB): 0.00
Kurtosis: 6.783 Cond. No. 3.40
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 305.51414864279104), ('p-value', 2.0723345938329753e-68), ('f-value', 318.9422938478699), ('f p-value', 7.744480865891824e-70)]
OLS Regression Results
==============================================================================
Dep. Variable: sportsclub R-squared: 0.011
Model: OLS Adj. R-squared: 0.011
Method: Least Squares F-statistic: 95.75
Date: Wed, 24 Apr 2024 Prob (F-statistic): 6.42e-13
Time: 09:23:04 Log-Likelihood: -5083.2
No. Observations: 7211 AIC: 1.017e+04
Df Residuals: 7209 BIC: 1.018e+04
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.3342 0.010 32.328 0.000 0.313 0.355
treat 0.1135 0.012 9.785 0.000 0.090 0.137
==============================================================================
Omnibus: 27877.174 Durbin-Watson: 2.011
Prob(Omnibus): 0.000 Jarque-Bera (JB): 1154.968
Skew: 0.344 Prob(JB): 1.59e-251
Kurtosis: 1.164 Cond. No. 3.40
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 99.02303990686751), ('p-value', 2.4958116684015264e-23), ('f-value', 100.3739324092605), ('f p-value', 1.796034831561015e-23)]
OLS Regression Results
==============================================================================
Dep. Variable: sport_hrs R-squared: 0.003
Model: OLS Adj. R-squared: 0.003
Method: Least Squares F-statistic: 21.40
Date: Wed, 24 Apr 2024 Prob (F-statistic): 2.94e-05
Time: 09:23:04 Log-Likelihood: -20601.
No. Observations: 7211 AIC: 4.121e+04
Df Residuals: 7209 BIC: 4.122e+04
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 4.2901 0.126 34.032 0.000 4.036 4.544
treat 0.4899 0.106 4.626 0.000 0.277 0.703
==============================================================================
Omnibus: 3391.937 Durbin-Watson: 2.078
Prob(Omnibus): 0.000 Jarque-Bera (JB): 21761.269
Skew: 2.181 Prob(JB): 0.00
Kurtosis: 10.308 Cond. No. 3.40
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 1.2472725887227885), ('p-value', 0.26407403808738666), ('f-value', 1.24714236840834), ('f p-value', 0.26413619103059266)]
OLS Regression Results
==============================================================================
Dep. Variable: oweight R-squared: 0.003
Model: OLS Adj. R-squared: 0.003
Method: Least Squares F-statistic: 18.25
Date: Wed, 24 Apr 2024 Prob (F-statistic): 9.38e-05
Time: 09:23:04 Log-Likelihood: -2767.2
No. Observations: 7211 AIC: 5538.
Df Residuals: 7209 BIC: 5552.
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.1799 0.006 31.067 0.000 0.168 0.192
treat -0.0449 0.011 -4.271 0.000 -0.066 -0.024
==============================================================================
Omnibus: 2405.461 Durbin-Watson: 1.988
Prob(Omnibus): 0.000 Jarque-Bera (JB): 5716.515
Skew: 1.965 Prob(JB): 0.00
Kurtosis: 4.890 Cond. No. 3.40
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 23.241290506408472), ('p-value', 1.4289610926981935e-06), ('f-value', 23.309973252079608), ('f p-value', 1.407236009899343e-06)]