IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2310.13148.html
   My bibliography  Save this paper

Persuasion in Veto Bargaining

Author

Listed:
  • Jenny S Kim
  • Kyungmin Kim
  • Richard Van Weelden

Abstract

We consider the classic veto bargaining model but allow the agenda setter to engage in persuasion to convince the veto player to approve her proposal. We fully characterize the optimal proposal and experiment when Vetoer has quadratic loss, and show that the proposer-optimal can be achieved either by providing no information or with a simple binary experiment. Proposer chooses to reveal partial information when there is sufficient expected misalignment with Vetoer. In this case the opportunity to engage in persuasion strictly benefits Proposer and increases the scope to exercise agenda power.

Suggested Citation

  • Jenny S Kim & Kyungmin Kim & Richard Van Weelden, 2023. "Persuasion in Veto Bargaining," Papers 2310.13148, arXiv.org.
  • Handle: RePEc:arx:papers:2310.13148
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2310.13148
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon P. Anderson & Régis Renault, 2006. "Advertising Content," American Economic Review, American Economic Association, vol. 96(1), pages 93-113, March.
    2. Paul R. Milgrom, 1981. "Good News and Bad News: Representation Theorems and Applications," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 380-391, Autumn.
    3. Christopher S Cotton & Cheng Li, 2018. "Clueless Politicians: On Policymaker Incentives for Information Acquisition in a Model of Lobbying," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 34(3), pages 425-456.
    4. Robert J. Aumann, 1995. "Repeated Games with Incomplete Information," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011476, December.
    5. Matthew Gentzkow & Emir Kamenica, 2016. "A Rothschild-Stiglitz Approach to Bayesian Persuasion," American Economic Review, American Economic Association, vol. 106(5), pages 597-601, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emir Kamenica & Matthew Gentzkow, 2011. "Bayesian Persuasion," American Economic Review, American Economic Association, vol. 101(6), pages 2590-2615, October.
    2. Semyon Malamud & Andreas Schrimpf, 2021. "Persuasion by Dimension Reduction," Swiss Finance Institute Research Paper Series 21-69, Swiss Finance Institute.
    3. Jeremy Bertomeu & Edwige Cheynel & Davide Cianciaruso, 2021. "Strategic Withholding and Imprecision in Asset Measurement," Journal of Accounting Research, Wiley Blackwell, vol. 59(5), pages 1523-1571, December.
    4. Gregor Martin, 2015. "To Invite or Not to Invite a Lobby, That Is the Question," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 15(2), pages 143-166, July.
    5. Celik, Levent, 2016. "Competitive provision of tune-ins under common private information," International Journal of Industrial Organization, Elsevier, vol. 44(C), pages 113-122.
    6. Hagenbach, Jeanne & Koessler, Frédéric, 2016. "Full disclosure in decentralized organizations," Economics Letters, Elsevier, vol. 139(C), pages 5-7.
    7. Navin Kartik & SangMok Lee & Tianhao Liu & Daniel Rappoport, 2024. "Beyond Unbounded Beliefs: How Preferences and Information Interplay in Social Learning," Econometrica, Econometric Society, vol. 92(4), pages 1033-1062, July.
    8. Kolotilin, Anton, 2015. "Experimental design to persuade," Games and Economic Behavior, Elsevier, vol. 90(C), pages 215-226.
    9. Ting Liu & Monic Jiayin Sun, 2007. "Informal Payments in Developing Countries' Public Health Sectors¤," Boston University - Department of Economics - Working Papers Series WP2007-032, Boston University - Department of Economics.
    10. Anton Kolotilin & Roberto Corrao & Alexander Wolitzky, 2025. "Persuasion and Matching: Optimal Productive Transport," Journal of Political Economy, University of Chicago Press, vol. 133(4), pages 1334-1381.
    11. Yichuan Lou, 2023. "Private Experimentation, Data Truncation, and Verifiable Disclosure," Papers 2305.04231, arXiv.org.
    12. Elliot Lipnowski & Doron Ravid, 2020. "Cheap Talk With Transparent Motives," Econometrica, Econometric Society, vol. 88(4), pages 1631-1660, July.
    13. Koessler, Frederic & Laclau, Marie & Renault, Jérôme & Tomala, Tristan, 2022. "Long information design," Theoretical Economics, Econometric Society, vol. 17(2), May.
    14. Thomas Mariotti & Nikolaus Schweizer & Nora Szech & Jonas von Wangenheim, 2023. "Information Nudges and Self-Control," Management Science, INFORMS, vol. 69(4), pages 2182-2197, April.
    15. Kun Zhang, 2022. "Withholding Verifiable Information," Papers 2206.09918, arXiv.org, revised Sep 2022.
    16. Forges, Françoise & Koessler, Frédéric, 2008. "Long persuasion games," Journal of Economic Theory, Elsevier, vol. 143(1), pages 1-35, November.
    17. Kolotilin, Anton, 2018. "Optimal information disclosure: a linear programming approach," Theoretical Economics, Econometric Society, vol. 13(2), May.
    18. Levent Celik, 2014. "Information Unraveling Revisited: Disclosure of Horizontal Attributes," Journal of Industrial Economics, Wiley Blackwell, vol. 62(1), pages 113-136, March.
    19. Archishman Chakraborty & Rick Harbaugh, 2014. "Persuasive Puffery," Marketing Science, INFORMS, vol. 33(3), pages 382-400, May.
      • Archishman Chakraborty & Rick Harbaugh, 2012. "Persuasive Puffery," Working Papers 2012-05, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    20. Anton Kolotilin & Roberto Corrao & Alexander Wolitzky, 2022. "Persuasion with Non-Linear Preferences," Papers 2206.09164, arXiv.org, revised Aug 2022.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2310.13148. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.