Forecasting Elections from Voters' Perceptions of Candidates' Ability to Handle Issues

Journal of Behavioral Decision Making, Forthcoming

16 Pages Posted: 6 Aug 2008 Last revised: 26 Mar 2012

See all articles by Andreas Graefe

Andreas Graefe

Macromedia University of Applied Sciences

J. Scott Armstrong

University of Pennsylvania - Marketing Department

Date Written: March 24, 2012

Abstract

When deciding for whom to vote, voters should select the candidate they expect to best handle issues, all other things equal. A simple heuristic predicted that the candidate who is rated more favorably on a larger number of issues would win the popular vote. This was correct for nine out of ten U.S. presidential elections from 1972 to 2008. We then used simple linear regression to relate the incumbent’s relative issue ratings to the actual two-party popular vote shares. The resulting model yielded out-of-sample forecasts that were competitive with those from the Iowa Electronic Markets and other established quantitative models. This model has implications for political decision-makers, as it can help to track campaigns and to decide which issues to focus on.

Keywords: index method, unit weighting, experience table, presidential election, accuracy

Suggested Citation

Graefe, Andreas and Armstrong, J. Scott, Forecasting Elections from Voters' Perceptions of Candidates' Ability to Handle Issues (March 24, 2012). Journal of Behavioral Decision Making, Forthcoming. Available at SSRN: https://ssrn.com/abstract=1206683 or http://dx.doi.org/10.2139/ssrn.1206683

Andreas Graefe (Contact Author)

Macromedia University of Applied Sciences ( email )

Sandstrasse 9
Munich, Bavaria 80337
Germany

HOME PAGE: http://www.andreas-graefe.org

J. Scott Armstrong

University of Pennsylvania - Marketing Department ( email )

700 Jon M. Huntsman Hall
3730 Walnut Street
Philadelphia, PA 19104-6340
United States
215-898-5087 (Phone)
215-898-2534 (Fax)

HOME PAGE: http://marketing.wharton.upenn.edu/people/faculty/armstrong.cfm

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