Arbeitspapier

A characterization of virtual Bayesian implementation

We provide a characterization of virtual Bayesian implementation in pure strategies for environments satisfying no-total-indifference. A social choice function in such environments is virtually Bayesian implementable if and only if it satisfies incentive compatibility and a condition we term virtual monotonicity. The latter is weaker than Bayesian monotonicity - known to be necessary for Bayesian implementation. Virtual monotonicity is weak in the sense that it is generically satisfied in environments with at least three alternatives. This implies that in most environments virtual Bayesian implementation is as successful as it can be (incentive compatibility is the only condition needed).

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 2002-11

Classification
Wirtschaft
Noncooperative Games
Positive Analysis of Policy Formulation and Implementation
Asymmetric and Private Information; Mechanism Design
Subject
Virtual monotonicity
Bayesian monotonicity
Maskin monotonicity
virtual Bayesian implementation
incentive compatibility
type diversity
Bayes-Statistik
Public Choice
Theorie

Event
Geistige Schöpfung
(who)
Serrano, Roberto
Vohra, Rajiv
Event
Veröffentlichung
(who)
Brown University, Department of Economics
(where)
Providence, RI
(when)
2002

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Serrano, Roberto
  • Vohra, Rajiv
  • Brown University, Department of Economics

Time of origin

  • 2002

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