Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/34786
Authors: 
Frölich, Markus
Melly, Blaise
Year of Publication: 
2008
Series/Report no.: 
IZA Discussion Papers 3638
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.
Subjects: 
Quantile treatment effect
causal effect
endogeneity
regression discontinuity
JEL: 
C13
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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