@TechReport{iza:izadps:dp3638,
            	author={Frölich, Markus and Melly, Blaise},
            	title={Quantile Treatment Effects in the Regression Discontinuity Design},
            	year={2008},
	month={Aug},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={3638},
            	url={https://www.iza.org/publications/dp3638},
	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},
            }