Implementing matching estimators for average treatment effects in Stata

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.


Issue Date:
2004
Publication Type:
Journal Article
DOI and Other Identifiers:
st0072 (Other)
PURL Identifier:
http://purl.umn.edu/116250
Published in:
Stata Journal, Volume 04, Number 3
Page range:
290-311
Total Pages:
22

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 Record created 2017-04-01, last modified 2017-08-26

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