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"Topics in Microeconomics: Industrial Organization, Auctions, and Incentives" by Elmar Wolfstetter (Repost)

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"Topics in Microeconomics: Industrial Organization, Auctions, and Incentives" by Elmar Wolfstetter (Repost)

"Topics in Microeconomics: Industrial Organization, Auctions, and Incentives" by Elmar Wolfstetter
Reprinted 2002
CamUni Press | 1999 | ISBN: 0521645344 0521642280 9780521645348 | 389 pages | PDF | 10 MB

This book in microeconomics focuses on the strategic analysis of markets under imperfect competition, incomplete information, and incentives. The text can be used as a textbook in different courses for senior undergraduate or first-year graduate students.

Part I of the book covers imperfect competition, from monopoly and regulation to the strategic analysis of oligopolistic markets.
Part II explains the analytics of risk, stochastic dominance, and risk aversion, supplemented with a variety of applications from different areas in economics.
Part III focuses on markets and incentives under incomplete information, including a comprehensive introduction to the theory of auctions, which plays an important role in modern economics.

Each chapter introduces the core issues in an accessible yet rigorous fashion, and then investigates specialized themes. Each also offers self-contained explanations and proofs.
The only prerequisites are a basic knowledge of calculus and probability, and familiarity with intermediate undergraduate microeconomics.


Contents
Preface
Acknowledgments
Part I. Imperfect Competition
1 Monopoly
2 Regulation of Monopoly
3 Oligopoly and Industrial Organization
Part II. Risk, Stochastic Dominance, and Risk Aversion
4 Stochastic Dominance: Theory
5 Stochastic Dominance: Applications
6 Risk Aversion
Part III. Incomplete Information and Incentives
7 Matching: The Marriage Problem
8 Auctions
9 Hidden Information and Adverse Selection
10 Hidden Information and Signaling
11 Hidden Action and Moral Hazard
12 Rank-Order Tournaments
Part IV. Technical Supplements
Appendix A: Nonlinear Optimization: The Classical Approach
Appendix B: Inequality-Constrained Optimization
Appendix C: Convexity and Generalizations
Appendix D: From Expected Values to Order Statistics
Bibliography
Index
1st with TOC BookMarkLinks

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