Titelaufnahme

Titel
Regression discontinuity design with continuous measurement error in the running variable / Laurent Davezies (CREST), Thomas Le Barbanchon (Bocconi University, CEPR and IZA) ; IZA Institute of Labor Economics
VerfasserDavezies, Laurent In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Laurent Davezies ; Le Barbanchon, Thomas In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Thomas Le Barbanchon
KörperschaftForschungsinstitut zur Zukunft der Arbeit In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Forschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, May 2017
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (56 Seiten) : Diagramme
SerieDiscussion paper ; no. 10801
URNurn:nbn:de:hbz:5:2-126075 Persistent Identifier (URN)
Zugriffsbeschränkung
 Das Dokument ist frei verfügbar.
Volltexte
Regression discontinuity design with continuous measurement error in the running variable [0.9 mb]
Links
Nachweis
Verfügbarkeit In meiner Bibliothek
Zusammenfassung

Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming non-differential measurement error, we propose a consistent nonparametric estimator of the LATE when the discrepancy between the true running variable and its noisy measure is observed in an auxiliary sample of treated individuals, and when there are treated individuals at any value of the true running variable - two-sided fuzzy designs. We apply our method to estimate the effect of receiving unemployment benefits.