Prediction for the 2012 United States Presidential Election using Multiple Regression Model
This paper investigates the factors responsible for predicting 2012 U.S. Presidential election. Though contemporary discussions on Presidential election mention that unemployment rate will be a deciding factor in this election, it is found that unemployment rate is not significant for predicting the forthcoming Presidential election. Except GDP growth rate, various other economic factors like interest rate, inflation, public debt, change in oil and gold prices, budget deficit/surplus and exchange rate are also not significant for predicting the U.S. Presidential election outcome. Lewis-Beck and Rice (1982) proposed Gallup rating, obtained in June of the election year, as a significant indicator for forecasting the Presidential election. However, the present study finds that even though there exists a relationship between June Gallup rating and incumbent vote share in the Presidential election, the Gallup rating cannot be used as the sole indicator of the Presidential elections. Various other non-economic factors like scandals linked to the incumbent President and the performance of the two parties in the midterm elections are found to be significant. We study the influence of the above economic and non-economic variables on voting behavior in U.S. Presidential elections and develop a suitable regression model for predicting the 2012 U.S. Presidential election. The emergence of new non-economic factors reflects the changing dynamics of U.S. Presidential election outcomes. The proposed model forecasts that the Democrat candidate Mr. Barack Obama is likely to get a vote percentage between 51.818 % - 54.239 %, with 95% confidence interval.
|Date of creation:||05 Aug 2012|
|Date of revision:|
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- Lichtman, Allan J., 2008. "The keys to the white house: An index forecast for 2008," International Journal of Forecasting, Elsevier, vol. 24(2), pages 301-309.
- Sinha, Pankaj & Bansal, Ashok, 2008.
"Hierarchical Bayes prediction for the 2008 US Presidential election,"
10470, University Library of Munich, Germany.
- Pankaj Sinha & Ashok K. Bansal, 2008. "Hierarchical Bayes Prediction for the 2008 US Presidential Election," Journal of Prediction Markets, University of Buckingham Press, vol. 2(3), pages 47-59, December.
- Hibbs, Douglas A, Jr, 2000.
"Bread and Peace Voting in U.S. Presidential Elections,"
Springer, vol. 104(1-2), pages 149-80, July.
- Douglas Hibbs, 2000. "Bread and Peace Voting in U.S. Presidential Elections," Public Choice, Springer, vol. 104(1), pages 149-180, July.
- Hibbs Jr., Douglas A., 2000. "Bread and Peace Voting in U.S. Presidential Elections," Working Papers in Economics 20, University of Gothenburg, Department of Economics.
- 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 159-73, May.
- Ray C. Fair, 1976. "The Effects of Economic Events on Votes for President," Cowles Foundation Discussion Papers 418, Cowles Foundation for Research in Economics, Yale University.
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