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Incentive compatibility under ambiguity

Author

Listed:
  • Huiyi Guo

    (Texas A&M University)

  • Nicholas C. Yannelis

    (The University of Iowa)

Abstract

The paper examines notions of incentive compatibility in an environment with ambiguity-averse agents. In particular, we propose the notion of maxmin transfer coalitional incentive compatibility, which is immune to coalitional manipulations and thus more stable than the individual incentive compatibility condition. The main result characterizes the set of allocations that satisfy the maxmin transfer coalitional incentive compatibility condition. We show that an allocation satisfies maxmin transfer coalitional incentive compatibility if and only if it is maxmin interim efficient. This result extends that of De Castro and Yannelis (J Econ Theory 177:678–707, 2018) in the sense that ambiguity not only resolves the conflict between efficiency and incentive compatibility, it also accommodates stability. Furthermore, this result is false in a finite economy where agents are subjective expected utility maximizers.

Suggested Citation

  • Huiyi Guo & Nicholas C. Yannelis, 2022. "Incentive compatibility under ambiguity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 73(2), pages 565-593, April.
    • Handle: RePEc:spr:joecth:v:73:y:2022:i:2:d:10.1007_s00199-020-01304-x
    DOI: 10.1007/s00199-020-01304-x
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    References listed on IDEAS

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