3.1.2. doubleml.datasets.fetch_bonus#
- doubleml.datasets.fetch_bonus(return_type='DoubleMLData', polynomial_features=False)#
- Data set on the Pennsylvania Reemployment Bonus experiment. - Parameters:
- return_type – - If - 'DoubleMLData'or- DoubleMLData, returns a- DoubleMLDataobject.- If - 'DataFrame',- 'pd.DataFrame'or- pd.DataFrame, returns a- pd.DataFrame.
- polynomial_features – If - Truepolynomial features are added (see replication files of Chernozhukov et al. (2018)).
 
 - References - Bilias Y. (2000), Sequential Testing of Duration Data: The Case of Pennsylvania ‘Reemployment Bonus’ Experiment. Journal of Applied Econometrics, 15(6): 575-594. - Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W. and Robins, J. (2018), Double/debiased machine learning for treatment and structural parameters. The Econometrics Journal, 21: C1-C68. doi:10.1111/ectj.12097. 
 
    
  
  
    