Regression Discontinuity Design with Continuous Measurement Error in the Running Variable
Laurent Davezies and
Thomas Le Barbanchon ()
No 11775, CEPR Discussion Papers from C.E.P.R. Discussion Papers
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 nondifferential 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.
Keywords: Measurement error; regression discontinuity design; Unemployment insurance (search for similar items in EconPapers)
JEL-codes: C14 C21 C51 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at email@example.com
Journal Article: Regression discontinuity design with continuous measurement error in the running variable (2017)
Working Paper: Regression Discontinuity Design with Continuous Measurement Error in the Running Variable (2017)
Working Paper: Regression Discontinuity Design with Continuous Measurement Error in the Running Variable (2014)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:11775
Ordering information: This working paper can be ordered from
http://www.cepr.org/ ... rs/dp.php?dpno=11775
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().