This overview of implementing quasi-experimental methods of estimating causal impacts (panel methods, matching estimators, instrumental variables, and regression discontinuity) emphasizes practical considerations and Stata-specific approaches. I pay particular attention to the regression discontinuity method, which seems to be less well-known in the larger community of Stata users, but is the most well regarded of the quasi-experimental methods in those circumstances where it is appropriate. We will also examine some examples of hybrid applications of these estimation techniques.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.