Computational Models in Political Economy

Computational Models in Political Economy

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Description

The use of innovative computational models in political economic research as a complement to traditional analytical methodologies.

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.
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Product details

  • Hardback | 294 pages
  • 152 x 229 x 25mm | 544g
  • MIT Press
  • Cambridge, Mass., United States
  • English
  • 62 illus.; 62 Illustrations, unspecified
  • 0262112752
  • 9780262112758
  • 1,902,348

Review quote

"Paarsch and Hong have done a masterful job bringing together the mathematics, economic theory, econometrics, and computational tools necessary to analyze auction data. The result is an excellent source for both auction specialists and others who want to learn about this important area of research."--Kenneth L. Judd, Hoover Institution, Stanford University
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About Ken Kollman

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. John H. Miller is Department Head and Professor of Social and Decision Sciences at Carnegie Mellon University. Scott E. Page is Associate Professor of Political Science, Complex Systems, and Economics at the University of Michigan.
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