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Informed Information Design

Author

Listed:
  • Frédéric Koessler
  • Vasiliki Skreta

Abstract

We study informed persuasion, whereby a privately informed designer without ex ante commitment power chooses disclosure mechanisms to influence agents’ actions. We characterize the subset of Bayes-correlated equilibria yielding every designer type a payoff higher than what they could get from any disclosure mechanism with credible beliefs. This set of interim-optimal mechanisms is nonempty and tractable, and all its elements are perfect Bayesian equilibrium mechanisms of the informed-designer game. Interim-optimal mechanisms are characterized via belief-based approaches in pure persuasion settings. We identify single- and multiagent interactive environments in which ex ante–optimal mechanisms are interim optimal.

Suggested Citation

  • Frédéric Koessler & Vasiliki Skreta, 2023. "Informed Information Design," Journal of Political Economy, University of Chicago Press, vol. 131(11), pages 3186-3232.
    • Handle: RePEc:ucp:jpolec:doi:10.1086/724843
    DOI: 10.1086/724843
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    Cited by:

    1. Bonatti, Alessandro & Dahleh, Munther & Horel, Thibaut & Nouripour, Amir, 2024. "Selling information in competitive environments," Journal of Economic Theory, Elsevier, vol. 216(C).
    2. Hedlund, Jonas, 2024. "Signaling through Bayesian persuasion," Mathematical Social Sciences, Elsevier, vol. 132(C), pages 15-27.
    3. Yifan Dai & Drew Fudenberg & Harry Pei, 2026. "Bayesian Persuasion with Selective Disclosure," Papers 2601.05914, arXiv.org.
    4. Emir Kamenica & Xiao Lin, 2024. "Commitment and Randomization in Communication," Papers 2410.17503, arXiv.org, revised Nov 2025.
    5. Bara Kim & Seung Han Yoo, 2022. "Grand Mechanism and Population Uncertainty," Discussion Paper Series 2204, Institute of Economic Research, Korea University.
    6. Emir Kamenica & Xiao Lin, 2024. "Commitment and Randomization in Communication," PIER Working Paper Archive 24-033, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    7. Ben-Porath, Elchanan & Dekel, Eddie & Lipman, Barton L., 2026. "Mechanism design for acquisition of/stochastic evidence," Theoretical Economics, Econometric Society, vol. 21(1), January.
    8. Smolin, Alex & Doval, Laura, 2021. "Information Payoffs: An Interim Perspective," CEPR Discussion Papers 16543, C.E.P.R. Discussion Papers.
    9. Andriy Zapechelnyuk, 2023. "On the equivalence of information design by uninformed and informed principals," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(4), pages 1051-1067, November.
    10. Tymofiy Mylovanov & Thomas Tröger, 2026. "Neutral Optimum in Private-Values Settings," CRC TR 224 Discussion Paper Series crctr224_2025_732, University of Bonn and University of Mannheim, Germany.
    11. Titova, Maria & Zhang, Kun, 2025. "Persuasion with verifiable information," Journal of Economic Theory, Elsevier, vol. 230(C).
    12. Emir Kamenica & Kyungmin Kim & Andriy Zapechelnyuk, 2021. "Bayesian persuasion and information design: perspectives and open issues," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(3), pages 701-704, October.
    13. Laura Doval & Alex Smolin, 2024. "Persuasion and Welfare," Journal of Political Economy, University of Chicago Press, vol. 132(7), pages 2451-2487.

    More about this item

    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

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