Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/170785
Authors: 
Davezies, Laurent
Le Barbanchon, Thomas
Year of Publication: 
2017
Series/Report no.: 
IZA Discussion Papers 10801
Abstract: 
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.
Subjects: 
regression discontinuity design
measurement error
JEL: 
C21
C14
C51
Document Type: 
Working Paper

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