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Quantile treatment effects in the regression discontinuity design

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

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.

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Bibliographic Info

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

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Web page: http://www.elsevier.com/locate/jeconom

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Keywords: Quantile treatment effect; Causal effect; Endogeneity; Regression discontinuity;

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References

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Citations

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Cited by:
  1. Tommaso Gabrieli & Antonio F. Galvao, Jr. & Antonio F. Galvao, Jr., 2010. "Who Benefits from Reducing the Cost of Formality? Quantile Regression Discontinuity Analysis," Real Estate & Planning Working Papers rep-wp2010-11, Henley Business School, Reading University.
  2. Angrist, Joshua & Rokkanen, Miikka, 2013. "Wanna Get Away? RD Identification Away from the Cutoff," IZA Discussion Papers 7429, Institute for the Study of Labor (IZA).
  3. Fe, Eduardo, 2012. "Efficient estimation in regression discontinuity designs via asymmetric kernels," MPRA Paper 38164, University Library of Munich, Germany.
  4. Guido Imbens & Karthik Kalyanaraman, 2009. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," NBER Working Papers 14726, National Bureau of Economic Research, Inc.
  5. Yingying Dong, 2012. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Working Papers 111206, University of California-Irvine, Department of Economics.
  6. Salima BOUAYAD AGHA & Nadine TURPIN & Lionel VEDRINE, 2013. "Au-Delà De La Moyenne : Les Effets Par Quantile De La Politique De Cohésion De L’Union Européenne," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 27-48.
  7. Bernal, Noelia & Carpio, Miguel A. & Klein, Tobias J., 2014. "The Effects of Access to Health Insurance for Informally Employed Individuals in Peru," IZA Discussion Papers 8213, Institute for the Study of Labor (IZA).
  8. Jinhyun Lee, . "Sharp Bounds on Heterogeneous Individual Treatment Responses," Discussion Paper Series, Department of Economics 201310, Department of Economics, University of St. Andrews.
  9. Stefan Boes & Dominik Hangartner & Lukas Schmid, 2011. "Identification of Causal Education Effects Using a Discontinuity in School Entry Tests: First Results from a Pilot Study," Diskussionsschriften dp1103, Universitaet Bern, Departement Volkswirtschaft.
  10. Beshears, John, 2013. "The performance of corporate alliances: Evidence from oil and gas drilling in the Gulf of Mexico," Journal of Financial Economics, Elsevier, vol. 110(2), pages 324-346.

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