• Pankaj Sinha Faculty of Management Studies, University of Delhi
  • Aastha Sharma Aastha Sharma Faculty of Management Studies University of Delhi
  • Harsh Vardhan Singh Faculty of Management Studies University of Delhi



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.


Abramowitz, Alan I. (1988). An Improved Model for Predicting the Outcomes of Presidential Elections. PS: Political Science and Politics, 21 4, 843-847

Bank of England. (2010). The UK recession in context — what do three centuries of data tell us?. retrieved from

Bartels, L. M. & Zaller, J. (2001). Presidential Vote Models: A Recount. PS: Political Science and Politics, XXXIV (1), 9–23.

Bureau of Labor Statistics. (2012a). How the Government Measures Unemployment. retrieved from

Bureau of Labor Statistics. (2012b). Where can I find the unemployment rate for previous years?. retrieved from

Bureau of Economic Analysis. (2012). Table 3.12. Government Social Benefits. retrieved from

Campbell, J. E. (1992). Forecasting the Presidential Vote in the States. American Journal of Political Science, 36 2,386-407.

Cuzán, A. G., Heggen R.J., & Bundrick,C.M. (2000). Fiscal policy, economic conditions, and terms in office: simulating presidential election outcomes. In Proceedings of the World Congress of the Systems Sciences and ISSS International Society for the Systems Sciences, 44th Annual Meeting, July 16–20, Toronto, Canada.

Erikson, R. S., and Wlezien, C. (1996). Of time and presidential election forecasts. PS: Political Science and politics, 31, 37-39.

Fair, R. C. (1978). The effect of economic events on votes for president. Review of Economics and Statistics, 60, 159-173.

Fair, R. C. (2002). Predicting Presidential Elections and Other Things. Stanford: Stanford University Press.

Fair, R.C. (2006). The Effect of Economic Events on Votes for President: 2004 Update. retrieved from :

Fair, R.C. (2008). 2008 Post Mortem. retrieved from :

Fair, R. C. (2012). Vote-Share Equations: November 2010 Update. retrieved from

Federal Reserve. (2012). Historical Data. retrieved from

Gallup Presidential Poll. (2012). Presidential Job Approval Center. retrieved from

Hibbs, Douglas A. (2000). Bread and Peace voting in U.S. presidential elections. Public Choice, 104, 149–180.

Hibbs, Douglas A. (2012). Obama’s Re-election Prospects Under ‘Bread and Peace’ Voting in the 2012 US Presidential Election. retrieved from:

International Monetary Fund. (2010). Historical Public Debt Database. retrieved from (2012). Historical Crude Oil Prices (Table). retrieved from

Jérôme, Bruno & Jérôme -Speziari, Véronique.(2011). Forecasting the 2012 U.S. Presidential Election: What Can We Learn from a State Level Political Economy Model. In Proceedings of the APSA Annual meeting Seattle, September 1-4 2011.

Keilis-Borok, V. I. & Lichtman, A. J. (1981). Pattern Recognition Applied to Presidential Elections in the United States, 1860-1980: The Role of Integral Social, Economic, and Political Traits. Proceedings of the National Academy of Sciences, 78, 7230−7234.

Lewis-Beck, M. S. & Rice, T. W. (1982).Presidential Popularity and Presidential Vote. The Public Opinion Quarterly, 46 4, 534-537.

Lichtman, A. J. (2005). The Keys to the White House. Lanham, MD: Lexington Books.

Lichtman, A. J. (2008). The keys to the white house: An index forecast for 2008. International Journal of Forecasting, 24, 301–309.

Office of the Clerk. (2010). Election Statistics. retrieved from

Sigelman, L., (1979). Presidential popularity and presidential elections. Public Opinion Quarterly, 43, 532-34.

Silver, N. (2011). On the Maddeningly Inexact Relationship Between Unemployment and Re-Election. retrieved from:

Sinha, P. and Bansal,A.K. (2008). Hierarchical Bayes Prediction for the 2008 US Presidential Election. The Journal of Prediction Markets, 2, 47-60.

The White House. (2012). Table 1.2—Summary of Receipts, Outlays, And Surpluses Or Deficits (–) As Percentages Of GDP: 1930–2017. retrieved from

Tufte, E. R. (1975). Determinants of the Outcomes of Midterm Congressional Elections. American Political Science Review, 69, 812-26.

United States National Mining Association. (2011). Historical Gold Prices- 1833 to Present. retrieved from