Computational models in political economy

Computational models in political economy / edited by Ken Kollman, John H. Miller, and Scott E. Page.

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,...

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Bibliographic Details
Other Authors: Kollman, Ken, 1966-, Miller, John H. (John Howard), 1959-, Page, Scott E.
Format: eBook
Language:English
Published: Cambridge, Mass. : MIT Press, ©2003.
Subjects:
Political science > Mathematical models.
Economics > Mathematical models.
PHILOSOPHY > Political.
Economics > Mathematical models
Political science > Mathematical models
Politieke wetenschappen.
Economie.
Wiskundige modellen.
Congressen (vorm)
Online Access:Click for online access
Table of Contents:
  • A dynamic model of multidimensional collective choice / David P. Baron and Michael C. Herron
  • Fluidity of social norms in a hierarchical system / Joseph E. Harrington, Jr.
  • Learning, central bank independence, and the politics of excess foreign returns / Jude C. Hays and Diana Richards
  • A computational theory of electoral competition / John E. Jackson
  • A computational model of voter sophistication, ideology, and candidate position taking / Scott de Marchi
  • The other side of the coin: a computational analysis of publicly financed campaigns / Michael Bailey
  • Political institutions and sorting in a Tiebout model / Ken Kollman, John H. Miller, and Scott E. Page
  • Recovering behavioralism: adaptively rational strategic behavior with endogenous aspirations / Jonathan Bendor, Daniel Diermeier, and Michael Ting.

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