Quantile Treatment Effects in the Regression Discontinuity Design

Frölich, Markus; Melly, Blaise

doi:10.2139/ssrn.1230825

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Quantile Treatment Effects in the Regression Discontinuity Design

IZA Discussion Paper No. 3638

14 Pages Posted: 18 Aug 2008

See all articles by Markus Frölich

Markus Frölich

Universität Mannheim, Chair of Econometrics

Blaise Melly

Brown University - Department of Economics

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: quantile treatment effect, causal effect, endogeneity, regression discontinuity

JEL Classification: C13, C14, C21

Suggested Citation: Suggested Citation

Frölich, Markus and Melly, Blaise, Quantile Treatment Effects in the Regression Discontinuity Design. IZA Discussion Paper No. 3638, Available at SSRN: https://ssrn.com/abstract=1230825 or http://dx.doi.org/10.2139/ssrn.1230825