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Directional and Proximity Models of Voter Choice in Recent US Presidential Elections

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  • Dow, Jay K

Abstract

This note evaluates relative ability of the proximity and recently proposed directional variants of the spatial model of voter choice to account for candidate evaluations in U.S. presidential elections contested between 1980 and 1992. The author does this by estimating a statistical model that represents voter preference for a candidate as a weighted average of proximity and directional components. The analysis corroborates previous studies supporting the directional model, but illustrates that these results are sensitive to statistical specification. Alternative methodological specifications favor a mixed directional-proximity model and the traditional distance representation. Copyright 1998 by Kluwer Academic Publishers

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  • Dow, Jay K, 1998. "Directional and Proximity Models of Voter Choice in Recent US Presidential Elections," Public Choice, Springer, vol. 96(3-4), pages 259-270, September.
    • Handle: RePEc:kap:pubcho:v:96:y:1998:i:3-4:p:259-70
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    Cited by:

    1. Thomas Knight & Fan Li & Lindsey Woodworth, 2017. "It’s My Party and I’ll Vote How I Want to: Experimental Evidence of Directional Voting in Two-Candidate Elections," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(4), pages 660-676, September.
    2. Wagner Antonio Kamakura, 2016. "Using Voter-choice Modeling to Plan Final Campaigns in Runoff Elections," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 20(6), pages 753-776.
    3. Isaac Duerr & Thomas Knight & Lindsey Woodworth, 2019. "Evidence on the Effect of Political Platform Transparency on Partisan Voting," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(3), pages 331-349, June.
    4. Joseph Gershtenson, 2009. "Candidates and Competition: Variability in Ideological Voting in U.S. Senate Elections," Social Science Quarterly, Southwestern Social Science Association, vol. 90(1), pages 117-133, March.

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