Expectations about Coalitions and Strategic Voting under Proportional Representation
In this paper, I suggest that voters may act strategically in proportional representation elections with post-election coalition building. Based on a stylized setup involving three possible coalitions of four parties on a single policy dimension, voters whose preferred coalition is least likely to win are predicted to strategically cast their ballot for a centrist party. By contrast, those who perceive a chance for their preferred coalition to become the next government are predicted to strategically vote for a non-centrist party. I test these predictions against the standard model of sincere proximity voting, using a unique dataset on voter expectations in the Austrian parliamentary election 2006. Analyses show that believing one's preferred coalition is non-viable raises the probability of voting for a centrist vs. non-centrist party while believing one's preferred coalition to be viable lowers the probability of voting for a centrist vs. non-centrist party.
|Date of creation:||17 Dec 2008|
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|Note:||Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.|
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- DE SINOPOLI, Francesco & IANNANTUONI, Giovanna, 2000.
"A spatial voting model where proportional rule leads to two-party equilibria,"
CORE Discussion Papers
2000037, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Francesco Sinopoli & Giovanna Iannantuoni, 2007. "A spatial voting model where proportional rule leads to two-party equilibria," International Journal of Game Theory, Springer;Game Theory Society, vol. 35(2), pages 267-286, January.
- Francesco De Sinopoli & Giovanna Iannantuoni, 2003. "A Spatial Voting Model Where Proportional Rule Leads to Two-Party Equilibria," CEIS Research Paper 31, Tor Vergata University, CEIS.
- Austen-Smith, David & Banks, Jeffrey., 1987. "Elections, Coalitions, and Legislative Outcomes," Working Papers 643, California Institute of Technology, Division of the Humanities and Social Sciences.
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