Causal inference with observational data: Regression Discontinuity and related methods in Stata
AbstractThis 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.
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Bibliographic InfoPaper provided by Stata Users Group in its series North American Stata Users' Group Meetings 2007 with number 2.
Date of creation: 15 Aug 2007
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-08-27 (All new papers)
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