To study the strategic interaction of individuals, we can use game theory. Despite the long history shared by game theory and political science, many political scientists remain unaware of the exciting game theoretic techniques that have been developed over the years. As a result they use overly simple games to illustrate complex processes. Games, Information, and Politics is written for political scientists who have an interest in game theory but really do not understand how it can be used to improve our understanding of politics. To address this problem, Gates and Humes write for scholars who have little or no training in formal theory and demonstrate how game theoretic analysis can be applied to politics. They apply game theoretic models to three subfields of political science: American politics, comparative politics, and international relations. They demonstrate how game theory can be applied to each of these subfields by drawing from three distinct pieces of research. By drawing on examples from current research projects the authors use real research problems--not hypothetical questions--to develop their discussion of various techniques and to demonstrate how to apply game theoretic models to help answer important political questions. Emphasizing the process of applying game theory, Gates and Humes clear up some common misperceptions about game theory and show how it can be used to improve our understanding of politics.

 

Games, Information, and Politics is written for scholars interested in understanding how game theory is used to model strategic interactions. It will appeal to sociologists and economists as well as political scientists.

 

Scott Gates is Assistant Professor of Political Science, Michigan State University. Brian D. Humes is Associate Professor of Political Science, University of Nebraska-Lincoln.

This book reports the authors' research on one of the most sophisticated general equilibrium models designed for tax policy analysis. Significantly disaggregated and incorporating the complete array of federal, state, and local taxes, the model represents the U.S. economy and tax system in a large computer package. The authors consider modifications of the tax system, including those being raised in current policy debates, such as consumption-based taxes and integration of the corporate and personal income tax systems. A counterfactual economy associated with each of these alternatives is generated, and the possible outcomes are compared.