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Congressional Election Forecasting: Structure-X Models for 2014

Published online by Cambridge University Press:  06 October 2014

Michael S. Lewis-Beck
Affiliation:
University of Iowa
Charles Tien
Affiliation:
Hunter College & The Graduate Center, CUNY

Abstract

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Type
Symposium: The 2014 Midterm Election Forecasts
Copyright
Copyright © American Political Science Association 2014 

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References

REFERENCES

Abramowitz, Alan. 2010. “How Large a Wave? Using the Generic Ballot to Forecast the 2010 Midterm Elections.” PS: Political Science and Politics 43 (4): 631–32.Google Scholar
Abramowitz, Alan. 2014. “Long-Term Trends and Short-term Forecasts: The Transformation of US Presidential Elections in an Age of Polarization.” PS: Political Science and Politics 47 (2): 289–92.Google Scholar
Campbell, James E. 2004. “Forecasting the Presidential Vote in 2004: Placing Preference Polls in Context.” PS: Political Science & Politics 37 (4): 763–67.Google Scholar
Abramowitz, Alan. 2010. “The Seats in Trouble Forecast of the 2010 Elections in the U.S. House.” PS: Political Science and Politics 43 (4):627–30.Google Scholar
Abramowitz, Alan. 2014. “Issues in Presidential Election Forecasting: Election Margins, Incumbency and Model Credibility.” PS: Political Science and Politics 47 (2): 289–92.Google Scholar
Cook, Charles E. Jr., and Wasserman, David. 2014. “Recalibrating Ratings for a New Normal.” PS: Political Science and Politics 47 (2): 304–08.Google Scholar
Erikson, Robert S., and Wlezien, Christopher. 2014. “Forecasting US Presidential Elections Using Economic and Nonecomomic Fundamentals.” PS: Political Science and Politics 47 (2): 313–16.Google Scholar
Gallup. 2014. “Gallup Job Approval Center.” http://www.gallup.com/poll/124922/Presidential-Approval-Center.aspx (June 26, 2014).Google Scholar
Graefe, Andreas, J. Armstrong, Scott, Jones, Randall J. Jr., and Cuzán, Alfred G.. 2014. “Accuracy of Combined Forecasts for the 2012 Presidential Election: The PollyVote.” PS: Political Science and Politics 47 (2): 427–31.Google Scholar
Lewis-Beck, Michael S., and Rice, Tom W.. 1984. “Forecasting Presidential Elections: A Comparison of Naive Models.” Political Behavior 6: 921.CrossRefGoogle Scholar
Lewis-Beck, Michael S. 1992. Forecasting Elections. Washington, DC: Congressional Quarterly Press.Google Scholar
Lewis-Beck, Michael S., and Stegmaier, Mary. 2013. “The V-P Function Revisited: A Survey of the Literature on Vote and Popularity Functions after over 40 Years.” Public Choice, 157 (3): 367–85.CrossRefGoogle Scholar
Lewis-Beck, Michael S. 2014. “US Presidential Election Forecasting: An Introduction.” PS: Political Science and Politics 47 (2): 284–88.Google Scholar
Lewis-Beck, Michael S., and Tien, Charles. 2008. “Forecasting Presidential Elections: When to Change the Model?International Journal of Forecasting 24 (2): 227–36.CrossRefGoogle Scholar
Linzer, Drew A. 2014. “The Future of Election Forecasting: More Data, Better Technology.” PS: Political Science and Politics 47 (2): 326–28.Google Scholar
Rothenberg, Stuart. 2014. “Election Forecasting and Public Opinion Polls.” PS: Political Science and Politics 47 (2): 336–38.Google Scholar
Stegmaier, Mary, and Lewis-Beck, Michael S.. 2013. “Economic Voting.” In Oxford Bibliographies in Political Science, online, Ed. Valelly, Rick. New York: Oxford University Press.Google Scholar
Tufte, Edward R. 1978. Political Control of the Economy. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar
U.S. Department of Commerce, Bureau of Economic Analysis. “Table 2.6. Personal Income and its Disposition, Monthly.” http://www.bea.gov/iTable/iTable.cfm?ReqID=9&step=1#reqid=9&step=3&isuri=1&903=76 (June 26, 2014).Google Scholar