A network solution to robust implementation: the case of identical but unknown distributions

Mariann Ollar and Antonio Penta
Additional contact information
Mariann Ollar: The University of Edinburgh
Antonio Penta: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

Post-Print from HAL

Abstract: We study robust mechanism design in environments in which agents commonly believe that others' types are identically distributed, but we do not assume that the actual distribution is common knowledge, nor that it is known to the designer. First, we characterize all incentive compatible transfers under these assumptions. Second, we characterize the conditions under which full implementation is possible via direct mechanisms, that only elicit payoff relevant information, and the transfer schemes which achieve it whenever possible. The full implementation results obtain from showing that the problem can be transformed into one of designing a network of strategic externalities, subject to suitable constraints which are dictated by the incentive compatibility requirements.

Keywords: Robust Full Implementation; Rationalizability; Interdependent Values; Identical but Unknown Distributions (search for similar items in EconPapers)
Date: 2023-10
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Published in Review of Economic Studies, 2023, 90 (5), pp.2517-2554. ⟨10.1093/restud/rdac084⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04198678

DOI: 10.1093/restud/rdac084

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD (hal@ccsd.cnrs.fr).