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On the Size of the Winning Set in the Presence of Interest Groups

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  • Vjollca Sadiraj
  • Jan Tuinstra
  • Frans van Winden

Abstract

Interest groups are introduced in a spatial model of electoral competition between two political parties. We show that the presence of these interest groups increases the winning set, which is the set of policy platforms for the challenger that will defeat the incumbent. Therefore interest groups enhance the probability of the challenger winning the election.

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Bibliographic Info

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 1698.

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Date of creation: 2006
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Handle: RePEc:ces:ceswps:_1698

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Keywords: spatial voting models; electoral competition; winning set; interest groups;

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  1. Vjollca Sadiraj & Jan Tuinstra & Frans van Winden, 2004. "A computational electoral competition model with social clustering and endogenous interest groups as information brokers," Experimental Economics Center Working Paper Series 2006-19, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
  2. Potters, J.J.M. & Sloof, R., 1996. "Interest groups: A survey of empirical models that try to assess their influence," Open Access publications from Tilburg University urn:nbn:nl:ui:12-73373, Tilburg University.
  3. Kramer, Gerald H., 1977. "A dynamical model of political equilibrium," Journal of Economic Theory, Elsevier, vol. 16(2), pages 310-334, December.
  4. Vjollca Sadiraj & Jan Tuinstra & Frans Winden, 2005. "Interest group size dynamics and policymaking," Public Choice, Springer, vol. 125(3), pages 271-303, December.
  5. George A. Akerlof & Rachel E. Kranton, 2000. "Economics And Identity," The Quarterly Journal of Economics, MIT Press, vol. 115(3), pages 715-753, August.
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Cited by:
  1. Sadiraj, V. & Tuinstra, J. & Winden, F. van, 2004. "A Computational Electoral Competition Model with Social Clustering and Endogenous Interest Groups as Information Brokers," CeNDEF Working Papers 04-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

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