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The Regression Discontinuity Design — Theory and Applications

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  • Lemieux, Thomas
  • Imbens, Guido

Abstract

In Regression Discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on either side of a fixed threshold. These designs were first introduced in the evaluation literature by Thistlewaite and Campbell (1960). With the exception of a few unpublished theoretical papers, these methods did not attract much attention in the economics literature until recently. Starting in the late 1990s, there has been a large number of studies in economics applying and extending RD methods. In this paper we review some of the practical and theoretical issues involved in the implementation of RD methods.

Suggested Citation

  • Lemieux, Thomas & Imbens, Guido, 2008. "The Regression Discontinuity Design — Theory and Applications," Scholarly Articles 3043411, Harvard University Department of Economics.
    • Handle: RePEc:hrv:faseco:3043411
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    File URL: http://dash.harvard.edu/bitstream/handle/1/3043411/imbens_regresh.pdf
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    Cited by:

    1. Bartalotti Otávio, 2019. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-26, January.
    2. Yogesh Uppal, 2010. "Estimating Incumbency Effects In U.S. State Legislatures: A Quasi‐Experimental Study," Economics and Politics, Wiley Blackwell, vol. 22(2), pages 180-199, July.
    3. Freier, Ronny & Odendahl, Christian, 2015. "Do parties matter? Estimating the effect of political power in multi-party systems," European Economic Review, Elsevier, vol. 80(C), pages 310-328.
    4. Nishijima, Marislei & Ellis, Randall P. & Cati, Regina C., 2022. "Primary healthcare effects of a well-designed anti-corruption program," World Development Perspectives, Elsevier, vol. 25(C).
    5. d׳Hombres, Béatrice & Nunziata, Luca, 2016. "Wish you were here? Quasi-experimental evidence on the effect of education on self-reported attitude toward immigrants," European Economic Review, Elsevier, vol. 90(C), pages 201-224.
    6. Tanaka, Shinsuke, 2020. "When tax incentives drive illicit behavior: The manipulation of fuel economy in the automobile industry," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    7. Hymel, Kent, 2014. "Do parking fees affect retail sales? Evidence from Starbucks," Economics of Transportation, Elsevier, vol. 3(3), pages 221-233.
    8. Hua Cheng & Shiqian Huang & Yinhong Yu & Zhiying Zhang & Meifen Jiang, 2023. "The 2011 Collaborative Innovation Plan, University-Industry Collaboration and Achievement Transformation of Universities: Evidence from China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1249-1274, June.
    9. Andrew Kerner & Morten Jerven & Alison Beatty, 2017. "Does it pay to be poor? Testing for systematically underreported GNI estimates," The Review of International Organizations, Springer, vol. 12(1), pages 1-38, March.
    10. Meng, Xin & Yu, Yanni, 2023. "Does the Russia-Ukraine conflict affect gasoline prices?," Energy Economics, Elsevier, vol. 128(C).
    11. Bracco, Emanuele & Porcelli, Francesco & Redoano, Michela, 2019. "Political competition, tax salience and accountability. Theory and evidence from Italy," European Journal of Political Economy, Elsevier, vol. 58(C), pages 138-163.
    12. Daniel Zaga, 2014. "The Impact of Three Mexican Nutritional Programs: The Case of Dif-Puebla," CFD Working Papers 09-2015, Centre for Finance and Development, The Graduate Institute.

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