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Regression Discontinuity Design with Continuous Measurement Error in the Running Variable

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  • Laurent Davezies

    (CREST)

  • Thomas Le Barbanchon

    (CREST)

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.

Suggested Citation

  • Laurent Davezies & Thomas Le Barbanchon, 2014. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," Working Papers 2014-27, Center for Research in Economics and Statistics.
    • Handle: RePEc:crs:wpaper:2014-27
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    More about this item

    Keywords

    Regression discontinuity design; Measurement error;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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