Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs Bartalotti, Otávio Calhoun, Gray He, Yang
dc.contributor.department Economics 2019-05-21T23:44:12.000 2020-06-30T02:08:49Z 2020-06-30T02:08:49Z Sun Jan 01 00:00:00 UTC 2017 2017-01-01
dc.description.abstract <p>This chapter develops a novel bootstrap procedure to obtain robust bias-corrected confidence intervals in regression discontinuity (RD) designs. The procedure uses a wild bootstrap from a second-order local polynomial to estimate the bias of the local linear RD estimator; the bias is then subtracted from the original estimator. The bias-corrected estimator is then bootstrapped itself to generate valid confidence intervals (CIs). The CIs generated by this procedure are valid under conditions similar to Calonico, Cattaneo, and Titiunik’s (2014) analytical correction – that is, when the bias of the naive RD estimator would otherwise prevent valid inference. This chapter also provides simulation evidence that our method is as accurate as the analytical corrections and we demonstrate its use through a reanalysis of Ludwig and Miller’s (2007) Head Start dataset.</p>
dc.description.comments <p>This is a working paper of a chapter from Otávio Bartalotti, Gray Calhoun, Yang He, (2017), Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs, in Matias D. Cattaneo and Juan Carlos Escanciano (ed.) Regression Discontinuity Designs (Advances in Econometrics, Volume 38) Emerald Publishing Limited, pp.421 - 453. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 1670
dc.identifier.contextkey 14202837
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath econ_las_pubs/657
dc.language.iso en
dc.subject.disciplines Econometrics
dc.subject.disciplines Economics
dc.subject.keywords Regression discontinuity
dc.subject.keywords bias correction
dc.subject.keywords wild bootstrap
dc.subject.keywords iterated bootstrap
dc.title Bootstrap Confidence Intervals for Sharp Regression Discontinuity Designs
dc.type article
dc.type.genre book_chapter
dspace.entity.type Publication
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