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Robust Mechanism Design: The Role Of Private Information And Higher Order Beliefs (Hardcover): Dirk Bergemann, Stephen Morris Robust Mechanism Design: The Role Of Private Information And Higher Order Beliefs (Hardcover)
Dirk Bergemann, Stephen Morris
R4,080 Discovery Miles 40 800 Ships in 18 - 22 working days

Foreword by Eric Maskin (Nobel Laureate in Economics, 2007)This volume brings together the collected contributions on the theme of robust mechanism design and robust implementation that Dirk Bergemann and Stephen Morris have been working on for the past decade. The collection is preceded by a comprehensive introductory essay, specifically written for this volume with the aim of providing the readers with an overview of the research agenda pursued in the collected papers.The introduction selectively presents the main results of the papers, and attempts to illustrate many of them in terms of a common and canonical example, namely a single unit auction with interdependent values. It is our hope that the use of this example facilitates the presentation of the results and that it brings the main insights within the context of an important economic mechanism, namely the generalized second price auction.

Learning And Intertemporal Incentives (Hardcover): Dirk Bergemann, Juuso Valimaki Learning And Intertemporal Incentives (Hardcover)
Dirk Bergemann, Juuso Valimaki
R4,252 Discovery Miles 42 520 Ships in 18 - 22 working days

This volume brings together the collected contributions of Dirk Bergemann and Juuso Valimaki, on the theme of learning, experimentation and intertemporal incentives, spanning over two decades of thought (1996 to 2019).The collection starts with a comprehensive introduction to the recent developments of dynamic mechanism design with a primary focus on the quasilinear case. The authors describe socially optimal and revenue optimal dynamic mechanism. They cover models of sequential screening and revenue maximizing auctions with dynamically changing bidder types, and also discuss models of information management where the mechanism designer can control (at least partially) the stochastic process governing the agent's types.Consolidating the research agenda on learning, experimentation, and dynamic mechanism design, which has been prominent in the area of economic theory, the authors present for the first time the main results of the research agenda in this volume.

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