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Predicting Electoral College Victory Probabilities from State Probability Data

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Author Info
Ray C. Fair () (Cowles Foundation, Yale University)

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Abstract

A method is proposed in this paper for predicting Electoral College victory probabilities from state probability data. A "ranking" assumption about dependencies across states is made that greatly simplifies the analysis. The method issued to analyze state probability data from the Intrade political betting market. The Intrade prices of various contracts are quite close to what would be expected under the ranking assumption. Under the joint hypothesis that the Intrade price ranking is correct and the ranking assumption is correct, President Bush should not have won any state ranked below a state that he lost. He did not win any such state. The ranking assumption is also consistent with the fact that the two parties spent essentially nothing in most states in 2004.

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File URL: http://cowles.econ.yale.edu/P/cd/d14b/d1496.pdf
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Publisher Info
Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number 1496.

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Length: 20 pages
Date of creation: Nov 2004
Date of revision:
Handle: RePEc:cwl:cwldpp:1496

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Related research
Keywords: Electoral College victory probabilities; political betting markets;

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Charles F. Manski, 2004. "Interpreting the Predictions of Prediction Markets," NBER Working Papers 10359, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  2. Strömberg, David, 2002. "Optimal Campaigning in Presidential Elections: The Probability of Being Florida," Seminar Papers 706, Stockholm University, Institute for International Economic Studies. [Downloadable!]
  3. Strömberg, David, 2002. "Optimal Campaigning in Presidential Elections: The Probability of Being Florida," CEPR Discussion Papers 3372, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  4. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring. [Downloadable!] (restricted)
    Other versions:
  5. Snyder, James M, 1989. "Election Goals and the Allocation of Campaign Resources," Econometrica, Econometric Society, vol. 57(3), pages 637-60, May. [Downloadable!] (restricted)
  6. Justin Wolfers & Eric Zitzewitz, 2009. "Using Markets to Inform Policy: The Case of the Iraq War," Economica, London School of Economics and Political Science, vol. 76(302), pages 225-250, 04. [Downloadable!] (restricted)
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