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Multiparty Spatial Competition with Probabilistic Voting

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  • Adams, James

Abstract

The author develops a general model of multiparty competition in which parties model voters' choices by means of probabilistic choice rules. The model is specified in terms of an issue salience coefficient which varies with the importance voters attach to issues, as opposed to unmeasured nonissue motivations. The author shows that when the policy salience coefficient is sufficiently low, then both vote-maximizing and rank-maximizing parties have a dominant strategy: to adopt the 'most popular platform,' which maximizes voter utilities over the entire electorate. This most popular platform therefore represents a convergent equilibrium when all parties are vote- or rank-maximizing. Numerical estimates suggest that this equilibrium result holds for degrees of issue voting which exceed the parameters behavioral researchers have estimated for various historical elections. Copyright 1999 by Kluwer Academic Publishers

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  • Adams, James, 1999. "Multiparty Spatial Competition with Probabilistic Voting," Public Choice, Springer, vol. 99(3-4), pages 259-274, June.
    • Handle: RePEc:kap:pubcho:v:99:y:1999:i:3-4:p:259-74
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    Citations

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    Cited by:

    1. Norman Schofield & Ugur Ozdemir, 2009. "Formal Models of Elections and Political Bargaining," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 3(3), pages 207-242, October.
    2. Haldun Evrenk & Dmitriy Kha, 2011. "Three-candidate spatial competition when candidates have valence: stochastic voting," Public Choice, Springer, vol. 147(3), pages 421-438, June.
    3. Marcus Berliant & Hideo Konishi, 2005. "Salience: Agenda choices by competing candidates," Public Choice, Springer, vol. 125(1), pages 129-149, July.
    4. Norman Schofield, 2007. "Modelling Politics," ICER Working Papers 33-2007, ICER - International Centre for Economic Research.
    5. Guido, Cataife, 2007. "The pronouncements of paranoid politicians," MPRA Paper 4473, University Library of Munich, Germany.
    6. Narwa, Daniel, 2001. "How general should the proximity model be?," European Journal of Political Economy, Elsevier, vol. 17(1), pages 53-74, March.
    7. Dodge Cahan & Hongjia H. Chen & Louis Christie & Arkadii Slinko, 2021. "Spatial competition on 2-dimensional markets and networks when consumers don’t always go to the closest firm," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(4), pages 945-970, December.
    8. Monika Turyna, 2012. "Estimation of party positions: A comment on Schofield and Zakharov (2010)," Public Choice, Springer, vol. 153(1), pages 163-169, October.

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