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A Note on Close Elections and Regression Analysis of the Party Incumbency Advantage

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  • Aronow Peter M.

    (Assistant Professor of Political Science, Yale University, 77 Prospect Street, New Haven, CT, 06520, USA)

  • Mayhew David R.

    (Sterling Professor of Political Science, Yale University, 77 Prospect Street, New Haven, CT, 06520, USA)

  • Lin Winston

    (Postdoctoral Research Scholar in Political Science, Columbia University, 420 West 118th Street, New York, NY 10027, USA)

Abstract

Much research has recently been devoted to understanding the effects of party incumbency following close elections, typically using a regression discontinuity design. Researchers have demonstrated that close elections in the US House of Representatives may systematically favor certain types of candidates, and that a research design that focuses on close elections may therefore be inappropriate for estimation of the incumbency advantage. We demonstrate that any issues raised with the study of close elections may be equally applicable to the ordinary least squares analysis of electoral data, even when the sample contains all elections. When vote share is included as part of a covariate control strategy, the estimate produced by an ordinary least squares regression that includes all elections either exactly reproduces or approximates the regression discontinuity estimate.

Suggested Citation

  • Aronow Peter M. & Mayhew David R. & Lin Winston, 2014. "A Note on Close Elections and Regression Analysis of the Party Incumbency Advantage," Statistics, Politics and Policy, De Gruyter, vol. 5(1-2), pages 1-11, December.
    • Handle: RePEc:bpj:statpp:v:5:y:2014:i:1-2:p:11:n:1
    DOI: 10.1515/spp-2014-0003
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    References listed on IDEAS

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    1. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    2. Angrist, Joshua D. & Krueger, Alan B., 1999. "Empirical strategies in labor economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366, Elsevier.
    3. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    4. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2011. "Multivariate Matching Methods That Are Monotonic Imbalance Bounding," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 345-361.
    5. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
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