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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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    Citations

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    Cited by:

    1. Davezies, Laurent & Le Barbanchon, Thomas, 2017. "Regression discontinuity design with continuous measurement error in the running variable," Journal of Econometrics, Elsevier, vol. 200(2), pages 260-281.
    2. YANAGI, Takahide, 2015. "Regression Discontinuity Designs with Nonclassical Measurement Error," Discussion Papers 2015-09, Graduate School of Economics, Hitotsubashi University.
    3. repec:aea:aecrev:v:109:y:2019:i:1:p:48-85 is not listed on IDEAS
    4. Bartalotti, Otávio & Brummet, Quentin & Dieterle, Steven G., 2019. "A Correction for Regression Discontinuity Designs with Group-Specific Mismeasurement of the Running Variable," IZA Discussion Papers 12366, Institute of Labor Economics (IZA).
    5. Zhuan Pei & Yi Shen, 2017. "The Devil is in the Tails: Regression Discontinuity Design with Measurement Error in the Assignment Variable," Advances in Econometrics,in: Regression Discontinuity Designs, volume 38, pages 455-502 Emerald Publishing Ltd.
    6. Matteo Picchio & Raffaella Santolini, 2019. "Fiscal rules and budget forecast errors of Italian Municipalities," Working Papers 438, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Chiara Criscuolo & Ralf Martin & Henry G. Overman & John Van Reenen, 2019. "Some Causal Effects of an Industrial Policy," American Economic Review, American Economic Association, vol. 109(1), pages 48-85, January.
    8. repec:wly:amposc:v:62:y:2018:i:1:p:210-229 is not listed on IDEAS
    9. Le Barbanchon, Thomas, 2016. "The effect of the potential duration of unemployment benefits on unemployment exits to work and match quality in France," Labour Economics, Elsevier, vol. 42(C), pages 16-29.
    10. Andrew C. Eggers & Ronny Freier & Veronica Grembi & Tommaso Nannicini, 2018. "Regression Discontinuity Designs Based on Population Thresholds: Pitfalls and Solutions," American Journal of Political Science, John Wiley & Sons, vol. 62(1), pages 210-229, January.

    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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