Computational Models in Political Economy
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.
About the Editor
Scott E. Page is Associate Professor of Political Science, Complex Systems, and Economics at the University of Michigan.
—David Austen-Smith, Ethel and John Lindgren Professor of Political Science and Economics, Northwestern University
—Kenneth L. Judd, Hoover Institution, Stanford University