Hello Expert SAS users, I’m in the midst of doing some SRD analysis (Sharp Regression Discontinuity) in SAS. The technique is still somewhat rare, so I’ve had significant problems finding textbook examples. There are a bunch of theoretical articles, but not that many that seems to explain how to implement it in SAS. The few sources I have found don’t seem to agree at all on how to implement it. Some say it requires that I write a macro in SAS, while others claim that you can just run 2 regressions and calculate the differences in mean between the two, while even others suggest a pooled regression – but not how to do it (because then you can use the tests carried out in the regression). Even the regressions themselves, seem to be a topic of debate, as the suggested regressors vary a great deal. (Some even suggest that it doesn’t matter whether you use an OLS or GLS regression). The few people I know that has used this technique, have all used STATA, as it apparently has a RD package, but I prefer to use SAS, as all my other analysis are done here. So my question is: What is the best way to do SRD in SAS, and are there any good textbooks/ARTICLES, preferably with examples and code, that I can use? I have searched the internet a lot, which has given me plenty of ideas, but also plenty of questions. My data is the following: I look at the number of applicants for a government program, and the number of accepted into this program. My hypothesis is that the number of applicants sharply rose, because of a shift in policy, which led to a decrease in the quality of applications. So therefore I use RD to compare the applicants before and after the policy shift, to see if the applicants after the policy shift have a much lower acceptance rate, than before the policy shift. If the acceptance rate is lower, it is evidence of a lower ‘quality’ of applicants. Any help is appreciated. Ulrik ... View more