Mechanism design with possibilistic beliefs

成果类型:
Article
署名作者:
Chen, Jing; Micali, Silvio
署名单位:
State University of New York (SUNY) System; Stony Brook University; Massachusetts Institute of Technology (MIT)
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/j.jet.2013.07.021
发表日期:
2015
页码:
77-102
关键词:
Incomplete information Single-good auctions First-order beliefs Conservative beliefs
摘要:
We study mechanism design in non-Bayesian settings of incomplete information, when the designer has no information about the players, and the players have arbitrary, heterogeneous, first-order, and possibilistic beliefs about their opponents' payoff types. Using such beliefs, in auctions of a single good, we define a revenue benchmark at least as high as the second-highest valuation, and sometimes much higher; prove that it is not meaningfully achievable via traditional notions of implementation; and prove that it is achievable via a notion of implementation based only on mutual belief of rationality. (C) 2013 Elsevier Inc. All rights reserved.