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Using state polls to forecast U.S. Presidential election outcomes

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  • Souren Soumbatiants
  • Henry Chappell
  • Eric Johnson

Abstract

This paper uses pre-election polls to forecast U.S. Presidential election outcomes in the states and the Electoral College. The approach is notable in three ways. First, we employ state-level polls to predict voting outcomes in the states; second, we associate probabilities with alternative election outcomes, and third, we identify states most likely to be pivotal in the Electoral College. Using information available on the day before the election, we estimated that the probability of a Republican victory in the Electoral College in the 2004 election was 47.27%. Copyright Springer Science + Business Media, Inc. 2006

Suggested Citation

  • Souren Soumbatiants & Henry Chappell & Eric Johnson, 2006. "Using state polls to forecast U.S. Presidential election outcomes," Public Choice, Springer, vol. 127(1), pages 207-223, April.
    • Handle: RePEc:kap:pubcho:v:127:y:2006:i:1:p:207-223
    DOI: 10.1007/s11127-006-1259-3
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    References listed on IDEAS

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    1. Fair, Ray C, 1978. "The Effect of Economic Events on Votes for President," The Review of Economics and Statistics, MIT Press, vol. 60(2), pages 159-173, May.
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    3. Brown, Lloyd B. & Chappell Jr., Henry W., 1999. "Forecasting presidential elections using history and polls," International Journal of Forecasting, Elsevier, vol. 15(2), pages 127-135, April.
    4. Holbrook, Thomas M. & DeSart, Jay A., 1999. "Using state polls to forecast presidential election outcomes in the American states," International Journal of Forecasting, Elsevier, vol. 15(2), pages 137-142, April.
    5. Erikson, Robert S., 1989. "Economic Conditions and the Presidential Vote," American Political Science Review, Cambridge University Press, vol. 83(2), pages 567-573, June.
    6. Ray C. Fair, 1996. "Econometrics and Presidential Elections," Journal of Economic Perspectives, American Economic Association, vol. 10(3), pages 89-102, Summer.
    7. Crain, W Mark & Messenheimer, Harold C & Tollison, Robert D, 1993. "The Probability of Being President," The Review of Economics and Statistics, MIT Press, vol. 75(4), pages 683-689, November.
    8. Koleman S. Strumpf & John R. Phillippe, 1999. "Estimating Presidential Elections: The Importance of State Fixed Effects and the Role of National Versus Local Information," Economics and Politics, Wiley Blackwell, vol. 11(1), pages 33-50, March.
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    Cited by:

    1. Jonathan R. Cervas & Bernard Grofman, 2017. "Why noncompetitive states are so important for understanding the outcomes of competitive elections: the Electoral College 1868–2016," Public Choice, Springer, vol. 173(3), pages 251-265, December.
    2. Jennifer Merolla & Michael Munger & Michael Tofias, 2005. "In Play: A Commentary on Strategies in the 2004 U.S. Presidential Election," Public Choice, Springer, vol. 123(1), pages 19-37, April.
    3. Wang, Samuel S.-H., 2015. "Origins of Presidential poll aggregation: A perspective from 2004 to 2012," International Journal of Forecasting, Elsevier, vol. 31(3), pages 898-909.
    4. Ray Fair & Cowles Discussion & Yale Working, 2006. "Interpreting the Predictive Uncertainty of Elections," Yale School of Management Working Papers amz2643, Yale School of Management, revised 01 Aug 2007.
    5. Jones Jr., Randall J., 2008. "The state of presidential election forecasting: The 2004 experience," International Journal of Forecasting, Elsevier, vol. 24(2), pages 310-321.

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