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The Empirical Frequency of a Pivotal Vote

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Casey B. Mulligan
Charles G. Hunter

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Abstract

Empirical distributions of election margins are computing using data on U.S. Congressional and state legislator election returns. We present some of the first empirical calculations of the frequency of close elections, showing that one of every 100,000 votes cast in U.S. elections, and one of every 15,000 votes cast in state elections, 'mattered' in the sense that they were cast for a candidate that officially tied or won by one vote. Very close elections are more rare than the independent binomial model predicts. The evidence also suggests that recounts, and other margin-specific election procedures, are quite relevant determinants of the frequency of a pivotal vote. Although moderately close elections (winning margin of less than ten percentage points) are more common than landslides, the distribution of moderately close U.S. election margins is approximately uniform. The distribution of state legislature election margins is clearly monotonic, with closer margins more likely, except for very close and very lopsided elections. We find an inverse relationship between election size and the frequency of one vote margins in both data sets over a wide range of election sizes, with the exception of the smallest U.S. elections for which the frequency increases with election size.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 8590.

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Date of creation: Nov 2001
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Handle: RePEc:nbr:nberwo:8590

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D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Models of Political Processes: Rent-seeking, Elections, Legislatures, and Voting Behavior

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References listed on IDEAS
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  1. Glaeser, Edward L & Sacerdote, Bruce & Scheinkman, Jose A, 1996. "Crime and Social Interactions," The Quarterly Journal of Economics, MIT Press, vol. 111(2), pages 507-48, May. [Downloadable!] (restricted)
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  2. Chamberlain, Gary & Rothschild, Michael, 1981. "A note on the probability of casting a decisive vote," Journal of Economic Theory, Elsevier, vol. 25(1), pages 152-162, August. [Downloadable!] (restricted)
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  1. Darren Grant & Michael Toma, 2008. "Elemental tests of the traditional rational voting model," Public Choice, Springer, vol. 137(1), pages 173-195, October. [Downloadable!] (restricted)
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  2. John Maloney & Andrew Pickering, 2008. "Ideology, Competence and Luck: What determines general election results?," Bristol Economics Discussion Papers 08/607, Department of Economics, University of Bristol, UK. [Downloadable!]
  3. Gelman, Andrew & Katz, Jonathan N. & Bafumi, Joseph, 2002. "Standard Voting Power Indexes Don't Work: An Empirical Analysis," Working Papers 1133, California Institute of Technology, Division of the Humanities and Social Sciences. [Downloadable!]
  4. Jean-Robert Tyran & Rupert Sausgruber, 2002. "A Little Fairness may Induce a Lot of Redistribution in Democracy," University of St. Gallen Department of Economics working paper series 2002 2002-30, Department of Economics, University of St. Gallen. [Downloadable!]
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  5. Gelman, Andrew & Katz, Jonathan N. & Tuerlinckx, Francis, 2002. "The Mathematics and Statistics of Voting Power," Working Papers 1141, California Institute of Technology, Division of the Humanities and Social Sciences. [Downloadable!]
  6. Aaron Edlin & Andrew Gelman & Noah Kaplan, 2007. "Voting as a Rational Choice: Why and How People Vote to Improve the Well-Being of Others," NBER Working Papers 13562, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  7. Eric Crampton & Andrew Farrant, 2004. "Expressive and Instrumental Voting: The Scylla and Charybdis of Constitutional Political Economy," Public Economics 0401002, EconWPA. [Downloadable!]
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  8. Andrew Leigh, 2004. "Does the World Economy Swing National Elections?," CEPR Discussion Papers 485, Centre for Economic Policy Research, Research School of Social Sciences, Australian National University. [Downloadable!]
    Other versions:
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