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Type-contingent Information Disclosure

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  • Yamashita, Takuro
  • Zhu, Shuguang

Abstract

We study a mechanism design problem where the principal can also manipulate the agent’s information about a payoff-relevant state. Jointly designing information and allocation rule is proved equivalent to certain multi-dimensional screening problem. Based on this equivalence, when the agent’s types are positively-related, full disclosure is proved optimal under regularity conditions; while with negatively-related types, the optimal disclosure policy takes the form of a bad-state alert, which is in general a type-contingent disclosure policy. In a binary environment, we fully charac- terize the optimal mechanisms and discuss when type-contingent disclosure strictly benefits the principal and its welfare consequences.

Suggested Citation

  • Yamashita, Takuro & Zhu, Shuguang, 2021. "Type-contingent Information Disclosure," TSE Working Papers 21-1242, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:125878
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    References listed on IDEAS

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    Cited by:

    1. Zhu, Shuguang, 2023. "Private disclosure with multiple agents," Journal of Economic Theory, Elsevier, vol. 212(C).
    2. Jacopo Bizzotto & Adrien Vigier, 2022. "Sorting and Grading," Papers 2208.10894, arXiv.org, revised Feb 2024.

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    More about this item

    Keywords

    Information design ; Bayesian persuasion; Mechanism design;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law

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