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Computational Models in Political Economy Book

Computational Models in Political Economy
Computational Models in Political Economy, Researchers are increasingly turning to computational methods to study the dynamic properties of political and economic systems. Politicians, citizens, interest groups, and organizations interact in dynamic, complex environments, and the static models tha, Computational Models in Political Economy has a rating of 3 stars
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Computational Models in Political Economy, Researchers are increasingly turning to computational methods to study the dynamic properties of political and economic systems. Politicians, citizens, interest groups, and organizations interact in dynamic, complex environments, and the static models tha, Computational Models in Political Economy
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  • Computational Models in Political Economy
  • Written by author Ken Kollman
  • Published by MIT Press, July 2003
  • Researchers are increasingly turning to computational methods to study the dynamic properties of political and economic systems. Politicians, citizens, interest groups, and organizations interact in dynamic, complex environments, and the static models tha
  • The use of innovative computational models in political economic research as a complement to traditional analytical methodologies.
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Authors

Acknowledgments
Introduction1
1A Dynamic Model of Multidimensional Collective Choice13
2Fluidity of Social Norms in a Hierarchical System49
3Learning, Central Bank Independence, and the Politics of Excess Foreign Returns85
4A Computational Theory of Electoral Competition109
5A Computational Model of Voter Sophistication, Ideology, and Candidate Position Taking143
6The Other Side of the Coin: A Computational Analysis of Publicly Financed Campaigns159
7Political Institutions and Sorting in a Tiebout Model187
8Recovering Behavioralism: Adaptively Rational Strategic Behavior with Endogenous Aspirations213
Contributors275
Index279


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