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dc.contributor.author	Imbens, Guido
dc.contributor.author	Abadie, Alberto
dc.date.accessioned	2009-06-08T15:13:36Z
dc.date.issued	2008
dc.identifier.citation	Abadie, Alberto and Guido W. Imbens. 2008. On the failure of the bootstrap for matching estimators. Econometrica 76(6): 1537-1557.	en
dc.identifier.issn	0012-9682	en
dc.identifier.uri	http://nrs.harvard.edu/urn-3:HUL.InstRepos:3043415
dc.description.abstract	Matching estimators are widely used in empirical economics for the evaluation of programs or treatments. Researchers using matching methods often apply the bootstrap to calculate the standard errors. However, no formal justification has been provided for the use of the bootstrap in this setting. In this article, we show that the standard bootstrap is, in general, not valid for matching estimators, even in the simple case with a single continuous covariate where the estimator is root-N consistent and asymptotically normally distributed with zero asymptotic bias. Valid inferential methods in this setting are the analytic asymptotic variance estimator of Abadie and Imbens (2006a) as well as certain modifications of the standard bootstrap, like the subsampling methods in Politis and Romano (1994).	en
dc.description.sponsorship	Economics	en
dc.language.iso	en_US	en
dc.publisher	Econometric Society	en
dc.relation.isversionof	http://dx.doi.org/10.3982/ECTA6474	en
dc.relation.hasversion	http://www3.interscience.wiley.com.ezp-prod1.hul.harvard.edu/cgi-bin/fulltext/121536265/PDFSTART	en
dash.license	LAA
dc.subject	matching	en
dc.subject	bootstrap	en
dc.subject	average treatment effects	en
dc.title	On the Failure of the Bootstrap for Matching Estimators	en
dc.type	Journal Article
dc.description.version	Accepted Manuscript
dc.relation.journal	Econometrica: journal of the Econometric Society	en
dash.depositing.author	Imbens, Guido

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  Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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