Artikel

Mechanism design with maxmin agents: theory and an application to bilateral trade

This paper studies mechanism design when agents are maxmin expected utility maximizers. A first result gives a general necessary condition for a social choice rule to be implementable. The condition combines an inequality version of the standard envelope characterization of payoffs in quasilinear environments with an approach for relating agents' maxmin expected utilities to their objective expected utilities under any common prior. The condition is then applied to give an exact characterization of when efficient trade is possible in the bilateral trading problem of Myerson and Satterthwaite (1983), under the assumption that agents know little beyond each other's expected valuation of the good (which is the information structure that emerges when agents are uncertainty about each other's ability to acquire information). Whenever efficient trade is possible, it may be implemented by a relatively simple double auction format. Sometimes, an extremely simple reference price rule can also implement efficient trade.

Language
Englisch

Bibliographic citation
Journal: Theoretical Economics ; ISSN: 1555-7561 ; Volume: 11 ; Year: 2016 ; Issue: 3 ; Pages: 971-1004 ; New Haven, CT: The Econometric Society

Classification
Wirtschaft
Criteria for Decision-Making under Risk and Uncertainty
Asymmetric and Private Information; Mechanism Design
Subject
Mechanism design
maxmin
ambiguity aversion
bilateral trade
Myerson-Satterthwaite

Event
Geistige Schöpfung
(who)
Wolitzky, Alexander
Event
Veröffentlichung
(who)
The Econometric Society
(where)
New Haven, CT
(when)
2016

DOI
doi:10.3982/TE2089
Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Wolitzky, Alexander
  • The Econometric Society

Time of origin

  • 2016

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