Essays in mechanism design with semi-exclusive information and wrong beliefs

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Abstract/Contents

Abstract
Mechanism design theories have established basic framework in studying economic problems where agents have private information and behave in their own interests. This framework provides a workhorse for exploring how to implement social choice rules in general. One typical issue is to analyze the decision-making by a social planner or a designer who aims to achieve efficient outcomes that maximize the joint welfare of all agents. Not surprisingly, efficiency essentially requires that the designer know the agents' private information and then choose the corresponding socially optimal outcome. However, the difficulty of mechanism design problem is to characterize these incentive constraints where agents find it optimal to reveal their private information truthfully. Specifically, sufficiently rich private information could entail non-implementability of efficient social choice rules. To overcome this difficulty, this dissertation considers a class of semi-exclusive information structures where agents may observe signals about payoff signals, and a class of problems where agents may have wrong beliefs or the mechanism designer is not informed about the agents' valuation functions, and proposes mechanisms that implement efficient allocations.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2015
Issuance monographic
Language English

Creators/Contributors

Associated with Xiao, Mingjun
Associated with Stanford University, Department of Economics.
Primary advisor Segal, Ilya
Thesis advisor Segal, Ilya
Thesis advisor Bagwell, Kyle
Thesis advisor Jackson, Matthew O
Advisor Bagwell, Kyle
Advisor Jackson, Matthew O

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Mingjun Xiao.
Note Submitted to the Department of Economics.
Thesis Thesis (Ph.D.)--Stanford University, 2015.
Location electronic resource

Access conditions

Copyright
© 2015 by Mingjun Xiao
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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