Computational models in political economy /:
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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Weitere Verfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, Mass. :
MIT Press,
©2003.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | 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. |
Beschreibung: | 1 online resource (vi, 283 pages) : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9780262277396 0262277395 0585481814 9780585481814 |
Internformat
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505 | 0 | |a 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. | |
588 | 0 | |a Print version record. | |
520 | |a 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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650 | 0 | |a Economics |x Mathematical models. |0 http://id.loc.gov/authorities/subjects/sh85040857 | |
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700 | 1 | |a Page, Scott E. | |
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author2 | Kollman, Ken, 1966- Miller, John H. (John Howard), 1959- Page, Scott E. |
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author_facet | Kollman, Ken, 1966- Miller, John H. (John Howard), 1959- Page, Scott E. |
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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. |
ctrlnum | (OCoLC)53888229 |
dewey-full | 320/.01/51 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 320 - Political science (Politics and government) |
dewey-raw | 320/.01/51 |
dewey-search | 320/.01/51 |
dewey-sort | 3320 11 251 |
dewey-tens | 320 - Political science (Politics and government) |
discipline | Politologie |
format | Electronic eBook |
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spelling | Computational models in political economy / edited by Ken Kollman, John H. Miller, and Scott E. Page. Cambridge, Mass. : MIT Press, ©2003. 1 online resource (vi, 283 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. 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. Print version record. 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. English. Political science Mathematical models. Economics Mathematical models. http://id.loc.gov/authorities/subjects/sh85040857 Économie politique Modèles mathématiques. PHILOSOPHY Political. bisacsh Economics Mathematical models fast Political science Mathematical models fast Politieke wetenschappen. gtt Economie. gtt Wiskundige modellen. gtt ECONOMICS/Political Economy SOCIAL SCIENCES/Political Science/General Congressen (vorm) (NL-LeOCL)088142469 gtt Kollman, Ken, 1966- Miller, John H. (John Howard), 1959- Page, Scott E. has work: Computational models in political economy (Text) https://id.oclc.org/worldcat/entity/E39PCFvfk4rJKGBHr7yPBdWmBd https://id.oclc.org/worldcat/ontology/hasWork Print version: Computational models in political economy. Cambridge, Mass. : MIT Press, ©2003 0262112752 (DLC) 2002040784 (OCoLC)50803381 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=100078 Volltext |
spellingShingle | Computational models in political economy / 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. Political science Mathematical models. Economics Mathematical models. http://id.loc.gov/authorities/subjects/sh85040857 Économie politique Modèles mathématiques. PHILOSOPHY Political. bisacsh Economics Mathematical models fast Political science Mathematical models fast Politieke wetenschappen. gtt Economie. gtt Wiskundige modellen. gtt |
subject_GND | http://id.loc.gov/authorities/subjects/sh85040857 (NL-LeOCL)088142469 |
title | Computational models in political economy / |
title_auth | Computational models in political economy / |
title_exact_search | Computational models in political economy / |
title_full | Computational models in political economy / edited by Ken Kollman, John H. Miller, and Scott E. Page. |
title_fullStr | Computational models in political economy / edited by Ken Kollman, John H. Miller, and Scott E. Page. |
title_full_unstemmed | Computational models in political economy / edited by Ken Kollman, John H. Miller, and Scott E. Page. |
title_short | Computational models in political economy / |
title_sort | computational models in political economy |
topic | Political science Mathematical models. Economics Mathematical models. http://id.loc.gov/authorities/subjects/sh85040857 Économie politique Modèles mathématiques. PHILOSOPHY Political. bisacsh Economics Mathematical models fast Political science Mathematical models fast Politieke wetenschappen. gtt Economie. gtt Wiskundige modellen. gtt |
topic_facet | Political science Mathematical models. Economics Mathematical models. Économie politique Modèles mathématiques. PHILOSOPHY Political. Economics Mathematical models Political science Mathematical models Politieke wetenschappen. Economie. Wiskundige modellen. Congressen (vorm) |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=100078 |
work_keys_str_mv | AT kollmanken computationalmodelsinpoliticaleconomy AT millerjohnh computationalmodelsinpoliticaleconomy AT pagescotte computationalmodelsinpoliticaleconomy |