Regression Discontinuity Design with Continuous Measurement Error in the Running Variable

Laurent Davezies and Thomas Le Barbanchon

No 2014-27, Working Papers from Center for Research in Economics and Statistics

Abstract: data from a large chess tournament held in the USA. This tournament is divided into errors, identification fails even if the dispersion of measurement errors is small. Assuming non-differential measurement errors, we propose a consistent nonparametric estimator of the LATE when the true running variable is observed in an auxiliary sample of treated individuals. Such auxiliary information is usually collected by agencies in charge of delivering the treatment.

Keywords: Regression discontinuity design; Measurement error (search for similar items in EconPapers)
JEL-codes: C14 C21 C51 (search for similar items in EconPapers)
Pages: 46
Date: 2014-08
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Citations: View citations in EconPapers (14)

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Related works:
Journal Article: Regression discontinuity design with continuous measurement error in the running variable (2017)
Working Paper: Regression Discontinuity Design with Continuous Measurement Error in the Running Variable (2017)
Working Paper: Regression Discontinuity Design with Continuous Measurement Error in the Running Variable (2017)
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