Implementing matching estimators for average treatment effects in Stata
Alberto Abadie
Harvard University
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David Drukker
StataCorp
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Jane Leber Herr
UC Berkeley
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Guido W. Imbens
UC Berkeley
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Abstract. This paper presents an implementation of matching estimators for average
treatment effects in Stata. The nnmatch command allows you to
estimate the average effect for all units or only for the treated or control
units; to choose the number of matches; to specify the distance metric; to
select a bias adjustment; and to use heteroskedastic-robust variance
estimators.
View all articles by these authors:
Alberto Abadie, David Drukker, Jane Leber Herr, Guido W. Imbens
View all articles with these keywords:
nnmatch, average treatment effects, matching, exogeneity, unconfoundedness, ignorability
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