Causal inference with observational data: Regression Discontinuity and related methods in Stata
Austin Nichols ()
Additional contact information
Austin Nichols: Urban Institute
North American Stata Users' Group Meetings 2007 from Stata Users Group
Abstract:
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, with examples using real data and comparisons across methods. Particular attention is paid to the regression discontinuity method, which seems to 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.
Date: 2007-08-15
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://repec.org/nasug2007/causal.pdf presentation slides (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:boc:asug07:2
Access Statistics for this paper
More papers in North American Stata Users' Group Meetings 2007 from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().