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first_difference_regression.txt
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OLS Regression Results
==============================================================================
Dep. Variable: kommheard R-squared: 0.200
Model: OLS Adj. R-squared: 0.200
Method: Least Squares F-statistic: 427.8
Date: Tue, 23 Apr 2024 Prob (F-statistic): 3.67e-36
Time: 15:11:59 Log-Likelihood: -4153.9
No. Observations: 9371 AIC: 8312.
Df Residuals: 9369 BIC: 8326.
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.0281 0.003 10.942 0.000 0.023 0.033
treat 0.3785 0.018 20.684 0.000 0.342 0.415
==============================================================================
Omnibus: 986.167 Durbin-Watson: 2.002
Prob(Omnibus): 0.000 Jarque-Bera (JB): 877.330
Skew: 0.674 Prob(JB): 3.09e-191
Kurtosis: 2.346 Cond. No. 2.71
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 3926.5609573822903), ('p-value', 0.0), ('f-value', 6756.977040563369), ('f p-value', 0.0)]
OLS Regression Results
==============================================================================
Dep. Variable: kommgotten R-squared: 0.121
Model: OLS Adj. R-squared: 0.121
Method: Least Squares F-statistic: 434.5
Date: Tue, 23 Apr 2024 Prob (F-statistic): 2.05e-36
Time: 15:11:59 Log-Likelihood: -2523.2
No. Observations: 9371 AIC: 5050.
Df Residuals: 9369 BIC: 5065.
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.0051 0.001 3.968 0.000 0.003 0.008
treat 0.2354 0.011 20.845 0.000 0.213 0.258
==============================================================================
Omnibus: 2585.667 Durbin-Watson: 2.016
Prob(Omnibus): 0.000 Jarque-Bera (JB): 5408.980
Skew: 1.673 Prob(JB): 0.00
Kurtosis: 4.629 Cond. No. 2.71
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 2012.7133968711364), ('p-value', 0.0), ('f-value', 2562.704177256064), ('f p-value', 0.0)]
OLS Regression Results
==============================================================================
Dep. Variable: kommused R-squared: 0.069
Model: OLS Adj. R-squared: 0.069
Method: Least Squares F-statistic: 492.9
Date: Tue, 23 Apr 2024 Prob (F-statistic): 1.68e-38
Time: 15:11:59 Log-Likelihood: -799.99
No. Observations: 9371 AIC: 1604.
Df Residuals: 9369 BIC: 1618.
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.0039 0.001 3.959 0.000 0.002 0.006
treat 0.1441 0.006 22.202 0.000 0.131 0.157
==============================================================================
Omnibus: 5009.486 Durbin-Watson: 2.021
Prob(Omnibus): 0.000 Jarque-Bera (JB): 25861.730
Skew: 2.700 Prob(JB): 0.00
Kurtosis: 9.089 Cond. No. 2.71
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 891.8426104487407), ('p-value', 5.823017894763508e-196), ('f-value', 985.4367637509389), ('f p-value', 9.191213014124407e-206)]
OLS Regression Results
==============================================================================
Dep. Variable: sportsclub R-squared: 0.000
Model: OLS Adj. R-squared: -0.000
Method: Least Squares F-statistic: 0.4875
Date: Tue, 23 Apr 2024 Prob (F-statistic): 0.487
Time: 15:11:59 Log-Likelihood: -6757.7
No. Observations: 9371 AIC: 1.352e+04
Df Residuals: 9369 BIC: 1.353e+04
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.4570 0.011 41.173 0.000 0.435 0.479
treat -0.0092 0.013 -0.698 0.487 -0.035 0.017
==============================================================================
Omnibus: 33023.835 Durbin-Watson: 2.011
Prob(Omnibus): 0.000 Jarque-Bera (JB): 1561.850
Skew: 0.193 Prob(JB): 0.00
Kurtosis: 1.037 Cond. No. 2.71
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 0.7733616570770344), ('p-value', 0.37917910169268443), ('f-value', 0.7732604177906222), ('f p-value', 0.37923285484822744)]
OLS Regression Results
==============================================================================
Dep. Variable: sport_hrs R-squared: 0.000
Model: OLS Adj. R-squared: -0.000
Method: Least Squares F-statistic: 0.5750
Date: Tue, 23 Apr 2024 Prob (F-statistic): 0.450
Time: 15:11:59 Log-Likelihood: -26787.
No. Observations: 9371 AIC: 5.358e+04
Df Residuals: 9369 BIC: 5.359e+04
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 4.8669 0.086 56.530 0.000 4.696 5.038
treat -0.0870 0.115 -0.758 0.450 -0.315 0.141
==============================================================================
Omnibus: 4423.128 Durbin-Watson: 1.984
Prob(Omnibus): 0.000 Jarque-Bera (JB): 29616.790
Skew: 2.176 Prob(JB): 0.00
Kurtosis: 10.544 Cond. No. 2.71
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 0.6064619382395331), ('p-value', 0.43612307136283546), ('f-value', 0.6063717469583484), ('f p-value', 0.43617685743954215)]
OLS Regression Results
==============================================================================
Dep. Variable: oweight R-squared: 0.001
Model: OLS Adj. R-squared: 0.000
Method: Least Squares F-statistic: 1.440
Date: Tue, 23 Apr 2024 Prob (F-statistic): 0.233
Time: 15:11:59 Log-Likelihood: -3440.9
No. Observations: 9371 AIC: 6886.
Df Residuals: 9369 BIC: 6900.
Df Model: 1
Covariance Type: cluster
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
Intercept 0.1508 0.006 25.997 0.000 0.139 0.162
treat -0.0157 0.013 -1.200 0.233 -0.042 0.010
==============================================================================
Omnibus: 3321.299 Durbin-Watson: 1.980
Prob(Omnibus): 0.000 Jarque-Bera (JB): 8405.518
Skew: 2.046 Prob(JB): 0.00
Kurtosis: 5.189 Cond. No. 2.71
==============================================================================
Notes:
[1] Standard Errors are robust to cluster correlation (cluster)
Breusch-Pagan test:
[('Lagrange multiplier statistic', 4.704067316717676), ('p-value', 0.03009132525513013), ('f-value', 4.7054253898323415), ('f p-value', 0.030092623894669306)]