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Forecasting elections using expert surveys: an application to U.S. presidential elections

Jones, Randall J.; Armstrong, J. Scott and Cuzan, Alfred G. (2007): Forecasting elections using expert surveys: an application to U.S. presidential elections. Unpublished.

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Abstract

Prior research offers a mixed view of the value of expert surveys for long-term election forecasts. On the positive side, experts have more information about the candidates and issues than voters do. On the negative side, experts all have access to the same information. Based on prior literature and on our experiences with the 2004 presidential election and the 2008 campaign so far, we have reason to believe that a simple expert survey (the Nominal Group Technique) is preferable to Delphi. Our survey of experts in American politics was quite accurate in the 2004 election. Following the same procedure, we have assembled a new panel of experts to forecast the 2008 presidential election. Here we report the results of the first survey, and compare our experts’ forecasts with predictions by the Iowa Electronic Market .

Item Type:MPRA Paper
Additional Information:Paper presented at the annual meeting of the American Political Science Association, Chicago, August 30 - September 2, 2007
Language:English
Keywords:forecasting; elections; expert surveys; Delphi
Subjects:Y - Miscellaneous Categories > Y8 - Related Disciplines > Y80 - Related Disciplines
ID Code:5301
Deposited By:Randall Jones
Deposited On:13. Oct 2007
Last Modified:07. Nov 2007 04:37
References:

Cuzán, Alfred G., J. Scott Armstrong, and Randall J. Jones, Jr. (2005), “Combining Methods to Forecast the 2004 Presidential Election: The Pollyvote.” Paper presented at the annual meeting of the Southern Political Science Association. New Orleans. January.

Hubbard, Ray and J. S. Armstrong (1992), “Are Null Results Becoming an Endangered Species in Marketing?” Marketing Letters, 3, 127-136.

Rowe, Gene and George Wright, (2001), Expert Opinions in Forecasting: Role of the Delphi Technique. In Principles of Forecasting: A Handbook for Researchers and Practitioners, edited by J. S. Armstrong. Boston: Kluwer Academic Publishers.

Sackman, Harold (1975), Delphi Critique: Expert Opinion, forecasting, and Group Process. Lexington, Mass: D. C. Heath.

Woudenberg, Fred (1991), “An evaluation of Delphi,” Technological Forecasting and Social Change, 40, 131-150.

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