Voting theory generally concludes that, in first-past-the-post elections, all votes should go to effective candidates (Duverger's Law), and parties should adopt a similar platform (median voter theorem). However, such predictions are not always met in practice. We show why divergence and vote dispersion is a natural outcome when (a) parties are opportunistic, (b) there is uncertainty on the position of the median voter and (c) elections are repeated. "Voting for losers" increases the informational content of elections, and may induce mainstream parties to relocate towards extremists. As a result, to maximize their probability of being elected, they do not adopt median platforms, but instead diverge to a certain extent. (JEL: D72, D81) Copyright (c) 2003 The European Economic Association.
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Micael Castanheira, .
"Why Vote for Losers?,"
Working Papers
125, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
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Micael Castanheira, .
"Why Vote for Losers?,"
Working Papers
125, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
[Downloadable!]
Other versions:
Timothy J. Feddersen & Wolfgang Pesendorfer, 1995.
"The Swing Voter's Curse,"
Discussion Papers
1064, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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Roger B. Myerson & Robert J. Weber, 1988.
"A Theory of Voting Equilibria,"
Discussion Papers
782, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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Roger B. Myerson, 1997.
"Large Poisson Games,"
Discussion Papers
1189, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Micael Castanheira, .
"Why Vote for Losers?,"
Working Papers
125, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
[Downloadable!]
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