Causal inference with observational data: Regression discontinuity and other methods in Stata
German Stata Users' Group Meetings 2009 from Stata Users Group
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.
References: Add references at CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:boc:dsug09:02
Access Statistics for this paper
More papers in German Stata Users' Group Meetings 2009 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().