Incentive Compatibility and Belief Restrictions
Mariann Ollár and
Antonio Penta
No 1513, Working Papers from Barcelona School of Economics
Abstract:
We study a framework for robust mechanism design that can accommodate various degrees of robustness with respect to agents' beliefs, which encompasses both the belief-free and Bayesian settings as special cases. For general belief restrictions, we characterize the set of incentive compatible direct mechanisms in general environments with interdependent values. Our main results, which we obtain based on a first-order approach, inform the design of transfers via 'belief-based' terms to attain incentive compatibility. In environments that satisfy a property of generalized independence, our results imply a robust version of revenue equivalence in non-Bayesian settings. Instead, under a notion of comovement between types and beliefs, which extends the idea of correlated information to non-Bayesian settings, we show that any allocation rule can be implemented, even if standard single-crossing and monotonicity conditions do not hold. Yet, unless the environment is Bayesian, information rents typically remain, and they decrease monotonically as the robustness requirements are weakened.
Keywords: belif restrictions; incentive compatibility; interdependent values; moment conditions; robust mechanism design (search for similar items in EconPapers)
JEL-codes: D62 D82 D83 (search for similar items in EconPapers)
Date: 2025-09
References: Add references at CitEc
Citations:
Downloads: (external link)
https://bw.bse.eu/wp-content/uploads/2025/09/1513.pdf (application/pdf)
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:bge:wpaper:1513
Access Statistics for this paper
More papers in Working Papers from Barcelona School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Bruno Guallar ().