An Analysis on Simulation Models of Competing Parties
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- Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.
- Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August.
- Kollman, Ken & Miller, John H. & Page, Scott E., 1998. "Political Parties and Electoral Landscapes," British Journal of Political Science, Cambridge University Press, vol. 28(1), pages 139-158, January.
- Kollman, Ken & Miller, John H. & Page, Scott E., 1997. "Landscape formation in a spatial voting model," Economics Letters, Elsevier, vol. 55(1), pages 121-130, August.
- Coughlin, Peter J, 1990. "Majority Rule and Election Models," Journal of Economic Surveys, Wiley Blackwell, vol. 4(2), pages 157-188.
- McKelvey, Richard D., 1976. "Intransitivities in multidimensional voting models and some implications for agenda control," Journal of Economic Theory, Elsevier, vol. 12(3), pages 472-482, June.
- Kollman, Ken & Miller, John H. & Page, Scott E., 1992. "Adaptive Parties in Spatial Elections," American Political Science Review, Cambridge University Press, vol. 86(4), pages 929-937, December.
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More about this item
Keywords
Spatial Voting Model; Party Competition; Evolutionary Modelling; Learning;All these keywords.
JEL classification:
- Z - Other Special Topics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2005-11-19 (Computational Economics)
- NEP-POL-2005-11-19 (Positive Political Economics)
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