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Another look at the Regression Discontinuity Design

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  • Battistin, Erich

    (Institute for Fiscal Studies)

  • Enrico Rettore

Abstract

The attractiveness of the Regression Discontinuity Design (RDD) rests on its similarity to an experimental design. On the other hand, it is of limited applicability since rarely assignment to the treatment is based on known pre-program measures. Besides, it only allows to identify the mean impact on a very specific sub-population. Here we show that the RDD generalizes to the instances in which eligibility is established on a pre-program measure and eligible individuals are allowed to self-select into the program. This set-up is also convenient to test the validity of conventional non-experimental estimators of the mean impact.

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Bibliographic Info

Paper provided by Royal Economic Society in its series Royal Economic Society Annual Conference 2003 with number 18.

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Date of creation: 04 Jun 2003
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Handle: RePEc:ecj:ac2003:18

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Keywords: program evaluation; second control group; specification tests;

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References

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  1. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
  2. David S. Lee, 2001. "The Electoral Advantage to Incumbency and Voters' Valuation of Politicians' Experience: A Regression Discontinuity Analysis of Elections to the U.S..," NBER Working Papers 8441, National Bureau of Economic Research, Inc.
  3. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
  4. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
  5. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
  6. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
  7. Erich Battistin & Enrico Rettore, 2002. "Testing for programme effects in a regression discontinuity design with imperfect compliance," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 39-57.
  8. Daniel Friedlander & David H. Greenberg & Philip K. Robins, 1997. "Evaluating Government Training Programs for the Economically Disadvantaged," Journal of Economic Literature, American Economic Association, vol. 35(4), pages 1809-1855, December.
  9. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-09, January.
  10. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2001. "Evaluating the employment impact of a mandatory job search assistance program," IFS Working Papers W01/20, Institute for Fiscal Studies.
  11. Angrist, J.D. & Imbens, G.W., 1991. "Sources of identifying information in evaluation models," Discussion Paper 1991-42, Tilburg University, Center for Economic Research.
  12. James Heckman & Jeffrey Smith & Christopher Taber, 1994. "Accounting for Dropouts in Evaluations of Social Experiments," NBER Technical Working Papers 0166, National Bureau of Economic Research, Inc.
  13. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-75, March.
  14. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September.
  15. Wilbert van der Klaauw, 2002. "Estimating the Effect of Financial Aid Offers on College Enrollment: A Regression-Discontinuity Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(4), pages 1249-1287, November.
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Citations

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Cited by:
  1. Luc Behaghel & Bruno Crépon & Béatrice Sédillot, 2005. "The Delalande Contribution and Transitions on The Labour Market," Economie et Statistique, Institut National de la Statistique et des Etudes Economiques, vol. 372, pages 61-88, February.
  2. Carneiro, Pedro & Ginja, Rita, 2012. "Long Term Impacts of Compensatory Preschool on Health and Behavior: Evidence from Head Start," CEPR Discussion Papers 8803, C.E.P.R. Discussion Papers.
  3. Sergio de Nardis & Massimo Mancini & Carmine Pappalardo, 2003. "Regolazione del mercato del lavoro e crescita dimensionale delle imprese: Una verifica sull'effetto soglia dei 15 dipendenti," ISAE Working Papers 38, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
  4. Burgert, Derik, 2005. "Schwellenwerte im deutschen Kündigungsschutzrecht Ein Beschäftigungshindernis für kleine Unternehmen?," MPRA Paper 5969, University Library of Munich, Germany.
  5. Derik Burgert, 2005. "Schwellenwerte im deutschen Kündigungsschutzrecht - Ein Beschäftigungshindernis für kleine Unternehmen?," FFB-Discussionpaper 51, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
  6. Ghazala Azmat, 2006. "The Incidence of an Earned Income Tax Credit: Evaluating the Impact on Wages in the UK," CEP Discussion Papers dp0724, Centre for Economic Performance, LSE.
  7. Burgert, Derik, 2006. "Einstellungschancen von Älteren – Wie wirkt der Schwellenwert im Kündigungsschutz?," MPRA Paper 5846, University Library of Munich, Germany.
  8. Burgert, Derik, 2005. "The Impact of German Job Protection Legislation on Job Creation in Small Establishments - An Application of the Regression Discontinuity Design," MPRA Paper 5971, University Library of Munich, Germany.
  9. Santarossa, Gino, 2008. "Note d'introduction sur l'évaluation d'impact d'un programme public par la méthode de régression par discontinuité
    [The Evaluation of Public Program Effect Using Regression Discontinuity Method
    ," MPRA Paper 11268, University Library of Munich, Germany.
  10. Jens Hainmueller & Holger Lutz Kern, 2005. "Incumbency Effects in German and British Elections: A Quasi- Experimental Approach," Public Economics 0505009, EconWPA.
  11. Battistin, Erich & Rettore, Enrico, 2008. "Ineligibles and eligible non-participants as a double comparison group in regression-discontinuity designs," Journal of Econometrics, Elsevier, vol. 142(2), pages 715-730, February.

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