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Identification and Estimation of Preference Distributions When Voters Are Ideological

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  • Antonio Merlo

    ()
    (Department of Economics, University of Pennsylvania)

  • Aureo de Paula

    ()
    (Department of Economics, University of Pennsylvania)

Abstract

This paper studies the nonparametric identification and estimation of voters' preferences when voters are ideological. We build on the methods introduced by Degan and Merlo (2009) representing elections as Voronoi tessellations of the ideological space. We exploit the properties of this geometric structure to establish that voter preference distributions and other parameters of interest can be identified from aggregate electoral data. We also show that these objects can be consistently estimated using the methodology proposed by Ai and Chen (2003) and we illustrate our analysis by performing an actual estimation using data from the 1999 European Parliament elections.

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Bibliographic Info

Paper provided by Penn Institute for Economic Research, Department of Economics, University of Pennsylvania in its series PIER Working Paper Archive with number 11-001.

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Length: 48 pages
Date of creation: 31 Dec 2010
Date of revision:
Handle: RePEc:pen:papers:11-001

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Keywords: Voting; Voronoi tessellation; identification; nonparametric;

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  1. Newey, Whitney K, 1991. "Uniform Convergence in Probability and Stochastic Equicontinuity," Econometrica, Econometric Society, vol. 59(4), pages 1161-67, July.
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  12. Degan, Arianna & Merlo, Antonio, 2009. "Do voters vote ideologically?," Journal of Economic Theory, Elsevier, vol. 144(5), pages 1868-1894, September.
  13. Racine, Jeffrey S., 2008. "Nonparametric Econometrics: A Primer," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(1), pages 1-88, March.
  14. Alesina, Alberto, 1988. "Credibility and Policy Convergence in a Two-Party System with Rational Voters," American Economic Review, American Economic Association, vol. 78(4), pages 796-805, September.
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