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Editor's Introduction: Forecasting the 2008 National Elections

Published online by Cambridge University Press:  01 October 2008

James E. Campbell
James E. Campbell
Affiliation:
University at Buffalo, SUNY
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Extract

This symposium presents 10 articles forecasting the 2008 U.S. national elections. The core of this collection is the seven presidential-vote forecasting models that were presented in this space before the 2004 election. Added to that group are one additional presidential forecasting model, one state-level elections forecasting model, and one model forecasting the relationship between congressional votes and seats won by the parties. Some of the articles that are focused on the presidential race have also taken the opportunity to forecast the congressional elections as well.

Type
Symposium
Information
PS: Political Science & Politics , Volume 41 , Issue 4 , October 2008 , pp. 679 - 682
Copyright
Copyright © The American Political Science Association 2008

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References

Campbell, James E. 2008a. “Evaluating U.S. Presidential Election Forecasts and Forecasting Equations.” International Journal of Forecasting 24 (April–June): 259–71.CrossRefGoogle Scholar
Campbell, James E. 2008b. The American Campaign: U.S. Presidential Campaigns and the National Vote. College Station: Texas A&M University Press.Google Scholar
Campbell, James E. 2005. “Introduction: Assessments of the 2004 Presidential Vote Forecasts.” PS: Political Science & Politics 38 (January): 23.Google Scholar
Campbell, James E. 2000. “The Science of Forecasting Presidential Elections.” In Before the Vote: Forecasting American National Elections, ed. Campbell, James E. and Garand, James C.. Thousand Oaks, CA: Sage Publications, 169–87.Google Scholar
Jones, Randall J. Jr. 2008. “The State of Presidential Election Forecasting: The 2004 Experience.” International Journal of Forecasting 24 (April–June): 310–21.CrossRefGoogle Scholar
Mayhew, David R. 2008. “Incumbency Advantage in U.S. Presidential Elections: The Historical Record.” Political Science Quarterly 123 (Spring): 201–28.CrossRefGoogle Scholar