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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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    Cited by:

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    2. Picchio, Matteo & Santolini, Raffaella, 2020. "Fiscal rules and budget forecast errors of Italian municipalities," European Journal of Political Economy, Elsevier, vol. 64(C).
    3. Ponzetto, Giacomo & Boffa, Federico & Mollisi, Vincenzo, 2023. "Do Incompetent Politicians Breed Populist Voters? Evidence from Italian Municipalities," CEPR Discussion Papers 17997, C.E.P.R. Discussion Papers.
    4. Laura Khoury & Clément Brébion & Simon Briole, 2019. "Entitled to Leave: the Impact of Unemployment Insurance Eligibility on Employment Duration and Job Quality," Working Papers halshs-02393383, HAL.
    5. YANAGI, Takahide & 柳, 貴英, 2015. "Regression Discontinuity Designs with Nonclassical Measurement Error," Discussion Papers 2015-09, Graduate School of Economics, Hitotsubashi University.
    6. 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.
    7. Otávio Bartalotti & Quentin Brummet & Steven Dieterle, 2021. "A Correction for Regression Discontinuity Designs With Group-Specific Mismeasurement of the Running Variable," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(3), pages 833-848, July.
    8. Hao Dong & Taisuke Otsu & Luke Taylor, 2021. "Bandwidth Selection for Nonparametric Regression with Errors-in-Variables," Departmental Working Papers 2104, Southern Methodist University, Department of Economics.
    9. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    10. Felipe Carozzi & Davide Cipullo & Luca Repetto, 2019. "Divided They Fall. Fragmented Parliaments and Government Stability," Working Papers wp2019_1911, CEMFI.
    11. 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 Group Publishing Limited.
    12. Bottasso, Anna & Bratti, Massimiliano & Cardullo, Gabriele & Conti, Maurizio & Sulis, Giovanni, 2023. "Labor Market Regulation and Firm Adjustments in Skill Demand," IZA Discussion Papers 16262, Institute of Labor Economics (IZA).
    13. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
    14. Rodrigo Carril & Andres Gonzalez-Lira & Michael S. Walker, 2022. "Competition under incomplete contracts and the design of procurement policies," Economics Working Papers 1824, Department of Economics and Business, Universitat Pompeu Fabra.
    15. Matias D. Cattaneo & Luke Keele & Rocio Titiunik, 2021. "Covariate Adjustment in Regression Discontinuity Designs," Papers 2110.08410, arXiv.org, revised Aug 2022.
    16. 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.
    17. 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.
    18. Dean Eckles & Nikolaos Ignatiadis & Stefan Wager & Han Wu, 2020. "Noise-Induced Randomization in Regression Discontinuity Designs," Papers 2004.09458, arXiv.org, revised Apr 2022.
    19. Myoung-Jae Lee & Hyae-Chong Shim & Sang Soo Park, 2023. "Regression Discontinuity with Integer Score and Non-Integer Cutoff," Korean Economic Review, Korean Economic Association, vol. 39, pages 73-101.
    20. Yingying Dong & Michal Koles'ar, 2021. "When Can We Ignore Measurement Error in the Running Variable?," Papers 2111.07388, arXiv.org, revised Feb 2023.
    21. Koster, Hans R.A. & van Ommeren, Jos & Volkhausen, Nicolas, 2021. "Short-term rentals and the housing market: Quasi-experimental evidence from Airbnb in Los Angeles," Journal of Urban Economics, Elsevier, vol. 124(C).
    22. Strazzeri, Maurizio, 2021. "Assessing the Role of Asylum Policies in Refugees' Labor Market Integration: The Case of Protection Statuses in the German Asylum System," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242395, Verein für Socialpolitik / German Economic Association.
    23. Batut, Cyprien, 2021. "The longer term impact of hiring credits. Evidence from France," Labour Economics, Elsevier, vol. 72(C).
    24. Felipe Carozzi & Davide Cipullo & Luca Repetto, 2022. "Political Fragmentation and Government Stability: Evidence from Local Governments in Spain," American Economic Journal: Applied Economics, American Economic Association, vol. 14(2), pages 23-50, April.

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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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