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Estimating Market Power and Strategies
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Table of Contents

1. Introduction; 2. Structure-conduct-performance; 3. Industry models of market power; 4. Differentiated-product structural models; 5. Strategic reasons for a dynamic estimation model; 6. Dynamic games involving economic fundamentals; 7. Estimation of dynamic games involving economic fundamentals; 8. Estimation of market power using a linear-quadratic model; 9. Estimating strategies: theory; 10. Estimating strategies: case studies; Statistical appendix; Answers.

Promotional Information

This book presents, compares, and develops various techniques for estimating market power - the ability to set price profitably above marginal cost.

About the Author

Jeffrey M. Perloff is a professor in and chair of the Department of Agricultural and Resource Economics at the University of California at Berkeley. His textbooks are Modern Industrial Organization (coauthored with Dennis Carlton) and Microeconomics. Professor Perloff has been an editor of Industrial Relations and an associate editor of the American Journal of Agricultural Economics. He is currently an associate editor of the Journal of Productivity Analysis and edits the Journal of Industrial Organization Education. A fellow of the American Agricultural Economics Association, his economic research covers industrial organization, marketing, labor, trade, and econometrics. He has consulted with a number of nonprofit organizations and government agencies including the Federal Trade Commission and the Departments of Commerce, Justice, and Agriculture. Larry S. Karp is a professor in the Department of Agricultural and Resource Economics at the University of California at Berkeley. He also teaches at University of Southampton, U.K. Professor Karp has served on the editorial boards of Journal of Environmental Economics and Management, Journal of Economic Dynamics and Control, American Journal of Agricultural Economics, and Review of International Economics. His research emphasis is environmental and resource economics, trade policy, and industrial organization, and he has consulted for federal and state agencies and private litigation on antitrust and environmental issues. Amos Golan is a professor in the Department of Economics at American University. He co-wrote Maximim Entropy Econometrics: Robust Elimination with Limited Data (with George Judge and Douglas Miller). Professor Golan has been a guest editor of the Journal of Econometrics and Econometric Reviews, and he is an associate editor of Econometric Reviews and Entropy and serves on the editorial board of Foundations and Trends in Econometrics. He has consulted for nonprofit organizations and government agencies (including the Departments of Treasury and Agriculture, as well as the US Navy and US Air Force). Professor Golan's main research covers theoretical and applied econometrics and statistics with specialties in the new field of information-theoretic and entropy econometrics. His other research includes applied microeconomics/policy, linear and nonlinear dynamics and image reconstruction.

Reviews

'… extremely well referenced throughout … This book would be of interest to those readers wishing to advance their knowledge and understanding of how econometrics can be used to investigate questions of market power.' Statistics in Society

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