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Quantile Treatment Effects in the Regression Discontinuity Design

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  • Frölich, Markus

    ()
    (University of Mannheim)

  • Melly, Blaise

    ()
    (Brown University)

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.

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Bibliographic Info

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 3638.

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Length: 14 pages
Date of creation: Aug 2008
Date of revision:
Handle: RePEc:iza:izadps:dp3638

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Keywords: regression discontinuity; endogeneity; causal effect; quantile treatment effect;

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References

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Citations

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Cited by:
  1. Yingying Dong, 2012. "Regression Discontinuity Applications with Rounding Errors in the Running Variable," Working Papers 111206, University of California-Irvine, Department of Economics.
  2. Fe, Eduardo, 2012. "Efficient estimation in regression discontinuity designs via asymmetric kernels," MPRA Paper 38164, University Library of Munich, Germany.
  3. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
  4. Joshua Angrist & Miikka Rokkanen, 2012. "Wanna Get Away? RD Identification Away from the Cutoff," NBER Working Papers 18662, National Bureau of Economic Research, Inc.
  5. 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).
  6. Jinhyun Lee, . "Sharp Bounds on Heterogeneous Individual Treatment Responses," Discussion Paper Series, Department of Economics 201310, Department of Economics, University of St. Andrews.
  7. Gabrieli, T. & Galvao Jr, A. F. & Montes-Rojas, G., 2010. "Who benefits from reducing the cost of formality? Quantile regression discontinuity analysis," Working Papers 10/07, Department of Economics, City University London.
  8. 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.
  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. 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.

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