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From | ir w <iwilliams24@hotmail.com> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | st: Propensity Score Matching Between 3 Groups |
Date | Wed, 26 Feb 2014 18:01:53 +0000 |
Hi, I am trying to estimate a propensity score and then find the average treatment effect on the treated. However, my sample has 3 groups: Group A: Resides in intervention area, receives treatment Group B: Resides in intervention area, doesn't receive treatment Group C: Resides in non-intervention area, doesn't receive treatment This is effectively like having 1 intervention group and 2 control groups: I want to calculate a propensity score for treatment between Groups A and B. I then want to apply this propensity score to Groups A and C to find the average treatment effect on the treated. I have seen this done in several economic papers, but never explained thoroughly. Is it possible to do this in Stata, and if so, how? If it is relevant, I am using a logit model and psmatch2 to estimate the propensity score. Thanks! * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/