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Essays on Mechanism Design under Non-Bayesian Frameworks

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자료유형E-Book
개인저자Guo, Huiyi.
단체저자명The University of Iowa. Economics.
서명/저자사항Essays on Mechanism Design under Non-Bayesian Frameworks.
발행사항[S.l.] : The University of Iowa., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항156 p.
소장본 주기School code: 0096.
ISBN9780438152397
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: A.
Adviser: Nicholas C. Yannelis.
요약One important issue in mechanism design theory is to model agents' behaviors under uncertainty. The classical approach assumes that agents hold commonly known probability assessments towards uncertainty, which has been challenged by economists i
요약Chapter 1 of this thesis allows the mechanism designer to introduce ambiguity to the mechanism. Instead of informing agents of the precise payment rule that she commits to, the mechanism designer can tell agents multiple payment rules that she m
요약Chapter 2 assumes that the mechanism designer does not know agents' probability assessments about others' private information. The mechanisms designed to implement the social choice function thus should not depend on the probability assessments,
요약Chapter 3 assumes that agents are not probabilistic about others' private information. Instead, when they hold ambiguous assessments about others' information, they make decisions based on the worst-case belief. This chapter provides necessary a
일반주제명Economics.
언어영어
기본자료 저록Dissertation Abstracts International79-12A(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997168

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