Quantile Treatment Effects in the Regression Discontinuity Design

Markus Frölich () and Blaise Melly ()

No 3638, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design (RDD) and proposes simple estimators. Quantile treatment effects are a very helpful tool to characterize the effects of certain interventions on the outcome distribution. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists.

Keywords: regression discontinuity; endogeneity; causal effect; quantile treatment effect (search for similar items in EconPapers)
JEL-codes: C13 C14 C21 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2008-08
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (8)

Published - revised version published in: Journal of Econometrics, 2012, 168 (2), 382-395

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Journal Article: Quantile treatment effects in the regression discontinuity design (2012)
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