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Persuasion with Coarse Communication

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  • Yunus C. Aybas
  • Eray Turkel

Abstract

How does an expert's ability persuade change with the availability of messages? We study games of Bayesian persuasion the sender is unable to fully describe every state of the world or recommend all possible actions. We characterize the set of attainable payoffs. Sender always does worse with coarse communication and values additional signals. We show that there exists an upper bound on the marginal value of a signal for the sender. In a special class of games, the marginal value of a signal is increasing when the receiver is difficult to persuade. We show that an additional signal does not directly translate into more information and the receiver might prefer coarse communication. Finally, we study the geometric properties of optimal information structures. Using these properties, we show that the sender's optimization problem can be solved by searching within a finite set.

Suggested Citation

  • Yunus C. Aybas & Eray Turkel, 2019. "Persuasion with Coarse Communication," Papers 1910.13547, arXiv.org, revised Sep 2022.
  • Handle: RePEc:arx:papers:1910.13547
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    References listed on IDEAS

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    1. Le Treust, Maël & Tomala, Tristan, 2019. "Persuasion with limited communication capacity," Journal of Economic Theory, Elsevier, vol. 184(C).
    2. Robert J. Aumann, 1995. "Repeated Games with Incomplete Information," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011476, December.
    3. David Dranove & Ginger Zhe Jin, 2010. "Quality Disclosure and Certification: Theory and Practice," Journal of Economic Literature, American Economic Association, vol. 48(4), pages 935-963, December.
    4. Emir Kamenica & Matthew Gentzkow, 2011. "Bayesian Persuasion," American Economic Review, American Economic Association, vol. 101(6), pages 2590-2615, October.
    5. Hugo Hopenhayn & Maryam Saeedi, 2019. "Optimal Ratings and Market Outcomes," NBER Working Papers 26221, National Bureau of Economic Research, Inc.
    6. Elliot Lipnowski & Laurent Mathevet, 2018. "Disclosure to a Psychological Audience," American Economic Journal: Microeconomics, American Economic Association, vol. 10(4), pages 67-93, November.
    7. Dirk Bergemann & Stephen Morris, 2016. "Information Design, Bayesian Persuasion, and Bayes Correlated Equilibrium," American Economic Review, American Economic Association, vol. 106(5), pages 586-591, May.
    8. Jäger, Gerhard & Koch-Metzger, Lars & Riedel, Frank, 2011. "Voronoi languages. Equilibria in cheap-talk games with high-dimensional types and few signals," Center for Mathematical Economics Working Papers 420, Center for Mathematical Economics, Bielefeld University.
    9. Tsakas, Elias & Tsakas, Nikolas, 2021. "Noisy persuasion," Games and Economic Behavior, Elsevier, vol. 130(C), pages 44-61.
    10. Luis Rayo & Ilya Segal, 2010. "Optimal Information Disclosure," Journal of Political Economy, University of Chicago Press, vol. 118(5), pages 949-987.
    11. Rick Harbaugh & Eric Rasmusen, 2018. "Coarse Grades: Informing the Public by Withholding Information," American Economic Journal: Microeconomics, American Economic Association, vol. 10(1), pages 210-235, February.
    12. Matthew Gentzkow & Emir Kamenica, 2014. "Costly Persuasion," American Economic Review, American Economic Association, vol. 104(5), pages 457-462, May.
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    Cited by:

    1. Semyon Malamud & Andreas Schrimpf, 2021. "Persuasion by Dimension Reduction," Swiss Finance Institute Research Paper Series 21-69, Swiss Finance Institute.
    2. Han Wang, 2023. "Contracting with Heterogeneous Researchers," Papers 2307.07629, arXiv.org.
    3. Victor Augias & Daniel M. A. Barreto, 2020. "Persuading a Wishful Thinker," Papers 2011.13846, arXiv.org, revised Nov 2023.

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