IDEAS home Printed from https://ideas.repec.org/p/ecj/ac2003/18.html

Another look at the Regression Discontinuity Design

Author

Listed:
  • 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.

Suggested Citation

  • Battistin, Erich & Enrico Rettore, 2003. "Another look at the Regression Discontinuity Design," Royal Economic Society Annual Conference 2003 18, Royal Economic Society.
    • Handle: RePEc:ecj:ac2003:18
    as

    Download full text from publisher

    File URL: http://repec.org/res2003/Battistin.pdf
    File Function: full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luc Behaghel & Bruno Crépon & Béatrice Sédillot, 2004. "Contribution Delalande et transitions sur le marché du travail," Économie et Statistique, Programme National Persée, vol. 372(1), pages 61-88.
    2. 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).
    3. Pedro Carneiro & Rita Ginja, 2014. "Long-Term Impacts of Compensatory Preschool on Health and Behavior: Evidence from Head Start," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 135-173, November.
    4. Azmat, Ghazala Yasmeen, 2006. "The incidence of an earned income tax credit: evaluating the impact on wages in the UK," LSE Research Online Documents on Economics 19859, London School of Economics and Political Science, LSE Library.
    5. Burgert, Derik, 2006. "Einstellungschancen von Älteren – Wie wirkt der Schwellenwert im Kündigungsschutz?," MPRA Paper 5846, University Library of Munich, Germany.
    6. Elisabetta Trevisan, 2008. "Enforcement of Employment Protection and the hiring behaviour of firms. Evidence from a large Italian region," Working Papers 2008_25, Department of Economics, University of Venice "Ca' Foscari".
    7. 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.
    8. Burgert, Derik, 2005. "Schwellenwerte im deutschen Kündigungsschutzrecht Ein Beschäftigungshindernis für kleine Unternehmen?," MPRA Paper 5969, University Library of Munich, Germany.
    9. 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.
    10. 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 : A," MPRA Paper 11268, University Library of Munich, Germany.
    11. Jens Hainmueller & Holger Lutz Kern, 2005. "Incumbency Effects in German and British Elections: A Quasi- Experimental Approach," Public Economics 0505009, University Library of Munich, Germany.
    12. 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.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecj:ac2003:18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.