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Computational Models/Political Economy政治经济中的计算模型

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作者：Ken Kollman　著著

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出版时间：2003-7-1

I S B N：9780262112758

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Computational Models/Political Economy政治经济中的计算模型

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内容简介

　　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 that are predominant in political economy are limited in capturing fundamental features of economic decision making in modern democracies. Computational models--numerical approximations of equilibria and dynamics that cannot be solved analytically--provide useful insight into the behavior of economic agents and the aggregate properties of political systems. They serve as a valuable complement to existing mathematical tools.
　　This book offers some of the latest research on computational political economy. The focus is on theoretical models of traditional problems in the field. Each chapter presents an innovative model of interaction between economic agents. Topics include voting behavior, candidate position taking, special interest group contributions, macroeconomic policy making, and corporate decision making.

作者简介

Ken Kollman is Associate Professor of Political Science and Senior Associate Research Scientist at the Center for Political Studies, ISR, at the University of Michigan.

Acknowledgments
Introduction
1 A Dynamic Model of Multidimensional Collective Choice
2 Fluidity of Social Norms in a Hierarchical System
3 Learning, Central Bank Independence, and the Politics of Excess Foreign Returns
4 A Computational Theory of Electoral Competition
5 A Computational Model of Voter Sophistication, Ideology, and Candidate Position Taking
6 The Other Side of the Coin: A Computational Analysis of Publicly Financed Campaigns
7 Political Institutions and Sorting in a Tiebout Model
8 Recovering Behavioralism: Adaptively Rational Strategic Behavior with Endogenous
Aspirations
Contributors
Index