Quantile treatment effects in the regression discontinuity design

Brigham R. Frandsen, Markus Frölich () and Blaise Melly ()

Journal of Econometrics, 2012, vol. 168, issue 2, 382-395

Abstract: We introduce a nonparametric estimator for local quantile treatment effects in the regression discontinuity (RD) design. The procedure uses local distribution regression to estimate the marginal distributions of the potential outcomes. We illustrate the procedure through Monte Carlo simulations and an application on the distributional effects of a universal pre-K program in Oklahoma. We find that participation in a pre-K program significantly raises the lower end and the middle of the distribution of test scores.

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)
Date: 2012
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Citations: View citations in EconPapers (75)

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Working Paper: Quantile Treatment Effects in the Regression Discontinuity Design (2008)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:168:y:2012:i:2:p:382-395

DOI: 10.1016/j.jeconom.2012.02.004

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