Treatment Effects and the Econometrics of Program Evaluations

[Nicolas974]

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).

[Sean_R]

Good morning from San Francisco!

I am unable to get the link shown to work. I am hopeful you can assist me with downloading both nn_matching and ps_matching.

Thank you for your help!

[Rick_SAS]

You are correct: the link appears to be inaccessible. Perhaps @Nicolas974 still maintains the macros. 

[Nicolas974]

There seems to be a temporary problem with the website! I sent him the
codes by email a couple of minutes ago.

[Rick_SAS · Accepted solution]

The link seems to be working now, so I guess we can close this thread?