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A computational electoral competition model with social clustering and endogenous interest groups as information brokers

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  • Vjollca Sadiraj
  • Jan Tuinstra
  • Frans van Winden

Abstract

We extend the basic model of spatial competition in two directions. First, political parties and voters do not have complete information but behave adaptively. Political parties use polls to search for policy platforms that maximize the probability of winning an election and the voting decision of voters is influenced by social interaction. Second, we allow for the emergence of interest groups. These interest groups transmit information about voter preferences to the political parties, and they coordinate voting behavior. We use simulation methods to investigate the convergence properties of this model. We find that the introduction of social dynamics and interest groups increases the separation between parties platforms, prohibits convergence to the center of the distribution of voter preferences, and increases the size of the winning set.

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Bibliographic Info

Paper provided by Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University in its series Experimental Economics Center Working Paper Series with number 2006-19.

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Length: 24
Date of creation: Jul 2004
Date of revision:
Handle: RePEc:exc:wpaper:2006-19

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  1. Kirman, Alan, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, MIT Press, vol. 108(1), pages 137-56, February.
  2. Grossman, Gene & Helpman, Elhanan, 1996. "Competing for Endorsements," CEPR Discussion Papers 1546, C.E.P.R. Discussion Papers.
  3. Mueller,Dennis C., 2003. "Public Choice III," Cambridge Books, Cambridge University Press, number 9780521894753, October.
  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. Coughlin, Peter J, 1990. " Majority Rule and Election Models," Journal of Economic Surveys, Wiley Blackwell, vol. 4(2), pages 157-88.
  6. Sadiraj, V. & Tuinstra, J. & Winden, F. van, 2005. "On the size of the winning set in the presence of interest groups," CeNDEF Working Papers 05-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  7. Stephen Ansolabehere & John M. de Figueiredo & James M. Snyder Jr, 2003. "Why is There so Little Money in U.S. Politics?," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 105-130, Winter.
  8. Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 2010. "A theory of Fads, Fashion, Custom and cultural change as informational Cascades," Levine's Working Paper Archive 1193, David K. Levine.
  9. Valentina Corradi & Antonella Ianni, . ""Consensus and Co-Existence in an Interactive Process of Opinion Formation''," CARESS Working Papres 98-09, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
  10. Banerjee, Abhijit V, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, MIT Press, vol. 107(3), pages 797-817, August.
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Cited by:
  1. Vjollca Sadiraj & Jan Tuinstra & Frans van Winden, 2006. "On the Size of the Winning Set in the Presence of Interest Groups," CESifo Working Paper Series 1698, CESifo Group Munich.
  2. Vjollca Sadiraj & Jan Tuinstra & Frans van Winden, 2009. "Identification of Voters with Interest Groups improves the Electoral Chances of the Challenger," Tinbergen Institute Discussion Papers 09-095/1, Tinbergen Institute.
  3. Michael Ensley, 2012. "Incumbent positioning, ideological heterogeneity and mobilization in U.S. House elections," Public Choice, Springer, vol. 151(1), pages 43-61, April.
  4. Vjollca Sadiraj & Jan Tuinstra & Frans Van Winden, 2010. "Identification of Voters with Interest Groups Improves the Electoral Chances of the Challenger," CESifo Working Paper Series 3014, CESifo Group Munich.
  5. Zacharias Maniadis, 2009. "Campaign contributions as a commitment device," Public Choice, Springer, vol. 139(3), pages 301-315, June.

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