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From | Nyasha Tirivayi <ntirivayi@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Regression Discontinuity Design |
Date | Fri, 7 Oct 2011 00:39:17 +0200 |
Hello I have questions about implementing a regression discontinuity approach. I have cross sectional data from 200 households on a social program and 200 control households. The program was targeted at two levels- geographically and at household level. The geographic placement of the social program in communities appears to have been done based on HIV prevalence rates of more than 20.5% for 3 "treated" communities and less than 20.5% for 3 "control communities". Two clinics do not follow this cutoff making it a fuzzy discontinuity design at community level. After geographic placement, households were then selected based on a means tested score. However we do not have access to this data. We have data from 200 randomly sampled households who are actually in the social program and residing in the treated communities and from 200 control households with similar household characteristics to the treated households but residing in the control communities. My questions are as follows: 1. Would it be valid to use the community level discontinuity for impact evaluation? What software can I use in Stata? 2. If so would an RD approach based on 8 communities be valid? Is the sample of communities too small? 3. If RD is no appropriate what other methods besides propensity score matching can I use, that can also take care of unobservables even with cross sectional data? Kindly advise Regards N.Tirivayi Maastricht University Netherlands * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/