Dear SAS users,
You'll find at http://cemoi.univ-reunion.fr/econometrie-avec-r-et-sas/ several SAS macros that may be useful to estimate treatment effects.
- The SAS macro DID_CT is written for estimation and inference in differences-in-differences applications with only a few treated groups following Conley and Taber's (2011) methodology.
- The SAS macro DiD_CLUS is written for estimation and inference in differences-in-differences applications with within cluster correlation and cluster-corrections for a few clusters.
- The SAS macro SPECREG is written to perform Dong and Lewbel's "Simple Estimator for Binary Choice Models" (2015).
- The SAS macro NN_MATCHING estimates nearest neighbor matching with replacement for the average treatment effect (ATE) and average treatment effect for the treated (ATET), following Abadie et al. (2004) and Abadie and Imbens (2002, 2011).
- The SAS macro PS_MATCHING estimates the average treatment effect (ATE) and the average treatment
effect for the treated (ATET) based on propensity scores with nearest neighbor matching with replacement following Abadie and Imbens (2016).
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