On the Failure of the Bootstrap for Matching Estimators

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On the Failure of the Bootstrap for Matching Estimators

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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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  • FAS Scholarly Articles [7374]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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