Simultaneous selection of optimal bandwidths for the sharp regression discontinuity estimator

Yoichi Arai and Hidehiko Ichimura

No CWP42/15, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies

Abstract: A new bandwidth selection rule that uses different bandwidths for the local linear regression estimators on the left and the right of the cut-off point is proposed for the sharp regression discontinuity estimator of the mean program impact at the cut-off point. The asymptotic mean squared error of the estimator using the proposed bandwidth selection rule is shown to be smaller than other bandwidth selection rules proposed in the literature. An extensive simulation study shows that the proposed method's performances for the samples sizes 500, 2000, and 5000 closely match the theoretical predictions. Supplementary material for this paper is available here.

Keywords: Bandwidth selection; local linear regression; regression discontinuity design (search for similar items in EconPapers)
Date: 2015-07-30
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Citations: View citations in EconPapers (7)

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Related works:
Journal Article: Simultaneous selection of optimal bandwidths for the sharp regression discontinuity estimator (2018)
Working Paper: Simultaneous selection of optimal bandwidths for the sharp regression discontinuity estimator (2015)
Working Paper: Simultaneous Selection of Optimal Bandwidths for the Sharp Regression Discontinuity Estimator (2015)
Working Paper: Simultaneous Selection of Optimal Bandwidths for the Sharp Regression Discontinuity Estimator (2014)
Working Paper: Simultaneous Selection of Optimal Bandwidths for the Sharp Regression Discontinuity Estimator (2014)
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