Quantile Treatment Effects in the Regression Discontinuity Design

Markus Frölich () and Blaise Melly ()

No 3638, IZA Discussion Papers from Institute for the Study of Labor (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: quantile treatment effect; causal effect; endogeneity; regression discontinuity (search for similar items in EconPapers)
JEL-codes: C13 C14 C21 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
Date: 2008-08
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