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Quantile treatment effects in the regression discontinuity design

  • Frandsen, Brigham R.
  • Frölich, Markus
  • Melly, Blaise

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.

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Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 168 (2012)
Issue (Month): 2 ()
Pages: 382-395

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Handle: RePEc:eee:econom:v:168:y:2012:i:2:p:382-395
Contact details of provider: Web page: http://www.elsevier.com/locate/jeconom

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