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Causal inference with observational data: Regression Discontinuity and related methods in Stata

  • Austin Nichols


    (Urban Institute)

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.

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Paper provided by Stata Users Group in its series North American Stata Users' Group Meetings 2007 with number 2.

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Date of creation: 15 Aug 2007
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Handle: RePEc:boc:asug07:2
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