Published January 2000 | Version Submitted
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Plurality and Probability of Victory: Some Equivalence Results

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Abstract

This paper examines decision-making by political candidates under three different objective functions. In particular, we are interested in when the optimal strategies for expected vote share, expected plurality, and probability of victory maximizing candidates coincide in simple plurality elections. It is shown here that if voters' behavior, conditional on the policies proposed by the candidates, is identical from the candidates' perspective, and candidates are restricted to choosing pure strategies, then all three objectives lead to the same best response function when there are two candidates and abstention is not allowed. We then provide a counter-example to Hinich's claim of general asymptotic equivalence in two candidate elections without abstention in which voter types are independently, but not identically distributed. In addition, we provide a counterexample to general best response equivalence between these objective functions in two candidate elections in which abstention is allowed, but our other assumptions are satisfied. Finally, an example of why our result can not be immediately extended to arbitrary numbers of candidates is provided.

Additional Information

Revised version. Original dated to March 1999. The author would like to thank Jeff Banks, Fred Boehmke, Kim Border, Tom Palfrey, and especially Richard McKelvey for helpful discussions and comments on earlier drafts of this paper. Special thanks are due to John Duggan for finding an error in a proof in an earlier draft of this paper. The financial assistance of the Division of the Humanities and Social Sciences at the California Institute of Technology is gratefully acknowledged. Published as Patty, J.W. (2001). Plurality and probability of victory: some equivalence results. Public Choice, 112, 151-166.

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Eprint ID
80302
Resolver ID
CaltechAUTHORS:20170811-135632584

Funding

Caltech Division of Humanities and Social Sciences

Dates

Created
2017-08-11
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Updated
2019-10-03
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Caltech Custom Metadata

Caltech groups
Social Science Working Papers
Series Name
Social Science Working Paper
Series Volume or Issue Number
1048R