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Computational Methods and Models of Politics

In: Handbook of Computational Economics

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Author Info
Kollman, Ken
Page, Scott E.
Abstract

In this chapter, we assess recent contributions of computational models to the study of politics. We focus primarily on agent-based models developed by economists and political scientists. These models address collective action problems, questions related to institutional design and performance, issues in international relations, and electoral competition. In our view, complex systems and computational techniques will have a large and growing impact on research on politics in the near future. This optimism follows from the observation that the concepts used in computational methodology in general and agent-based models in particular resonate deeply within political science because of the domains of study in the discipline and because early findings from agent-based models align with widely known empirical regularities in the political world. In the process of making our arguments, we survey a portion of the growing literature within political science.

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This chapter was published in: Leigh Tesfatsion & Kenneth L. Judd (ed.) Handbook of Computational Economics, , chapter 29, pages 1433-1463, 2006.

This item is provided by Elsevier in its series Handbook of Computational Economics with number 2-29.

Handle: RePEc:eee:hecchp:2-29

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This chapter was published in the following book, which is listed on IDEAS:
Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2, September. [Downloadable!] (restricted)
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C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques

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This page was last updated on 2009-12-2.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.