Titelaufnahme

Titel
A correction for regression discontinuity designs with group-specific mismeasurement of the running variable / Otávio Bartalotti (Iowa State University and IZA), Quentin Brummet (NORC at the University of Chicago), Steven Dieterle (University of Edinburgh) ; IZA Institute of Labor Economics
VerfasserBartalotti, Otávio ; Brummet, Quentin ; Dieterle, Steven G.
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, May 2019
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (47 Seiten) : Diagramme
SerieDiscussion paper ; no. 12366
URLVolltext
URNurn:nbn:de:hbz:5:2-192587 
Zugänglichkeit
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Volltexte
A correction for regression discontinuity designs with group-specific mismeasurement of the running variable [0.52 mb]
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Zusammenfassung (Englisch)

When the running variable in a regression discontinuity (RD) design is measured with error, identification of the local average treatment effect of interest will typically fail. While the form of this measurement error varies across applications, in many cases the measurement error structure is heterogeneous across different groups of observations. We develop a novel measurement error correction procedure capable of addressing heterogeneous mismeasurement structures by leveraging auxiliary information. We also provide adjusted asymptotic variance and standard errors that take into consideration the variability introduced by the estimation of nuisance parameters, and honest confidence intervals that account for potential misspecification. Simulations provide evidence that the proposed procedure corrects the bias introduced by heterogeneous measurement error and achieves empirical coverage closer to nominal test size than "naïve" alternatives. Two empirical illustrations demonstrate that correcting for measurement error can either reinforce the results of a study or provide a new empirical perspective on the data.

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