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9780262112758

Computational Models in Political Economy

by
  • ISBN13:

    9780262112758

  • ISBN10:

    0262112752

  • Format: Hardcover
  • Copyright: 2003-07-20
  • Publisher: Mit Pr
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Summary

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.

Table of Contents

Acknowledgments vii
Introduction 1(12)
Ken Kollman, John H. Miller, and Scott E. Page
1 A Dynamic Model of Multidimensional Collective Choice 13(36)
David P. Baron and Michael C. Herron
2 Fluidity of Social Norms in a Hierarchical System 49(36)
Joseph E. Harrington, Jr.
3 Learning, Central Bank Independence, and the Politics of Excess Foreign Returns 85(24)
Jude C. Hays and Diana Richards
4 A Computational Theory of Electoral Competition 109(34)
John E. Jackson
5 A Computational Model of Voter Sophistication, Ideology, and Candidate Position Taking 143(16)
Scott de Marchi
6 The Other Side of the Coin: A Computational Analysis of Publicly Financed Campaigns 159(28)
Michael Bailey
7 Political Institutions and Sorting in a Tiebout Model 187(26)
Ken Kollman, John H. Miller, and Scott E. Page
8 Recovering Behavioralism: Adaptively Rational Strategic Behavior with Endogenous Aspirations 213(62)
Jonathan Bendor, Daniel Diermeier, and Michael Ting
Contributors 275(4)
Index 279

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