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The optimal disclosure policy in contests with stochastic entry: A Bayesian persuasion perspective

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  • Feng, Xin
  • Lu, Jingfeng

Abstract

Following a Bayesian persuasion approach, we establish that full disclosure (resp. concealment) is the contest organizer’s effort-maximizing policy for disclosing the number of actual contestants if the characteristic function of the imperfectly discriminatory contest technology is strictly concave (resp. convex).

Suggested Citation

  • Feng, Xin & Lu, Jingfeng, 2016. "The optimal disclosure policy in contests with stochastic entry: A Bayesian persuasion perspective," Economics Letters, Elsevier, vol. 147(C), pages 103-107.
  • Handle: RePEc:eee:ecolet:v:147:y:2016:i:c:p:103-107
    DOI: 10.1016/j.econlet.2016.08.038
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    References listed on IDEAS

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    1. McAfee, R. Preston & McMillan, John, 1987. "Auctions with a stochastic number of bidders," Journal of Economic Theory, Elsevier, vol. 43(1), pages 1-19, October.
    2. Lim, Wooyoung & Matros, Alexander, 2009. "Contests with a stochastic number of players," Games and Economic Behavior, Elsevier, vol. 67(2), pages 584-597, November.
    3. Emir Kamenica & Matthew Gentzkow, 2011. "Bayesian Persuasion," American Economic Review, American Economic Association, vol. 101(6), pages 2590-2615, October.
    4. Yun Wang, 2015. "Bayesian Persuasion with Multiple Receivers," Working Papers 2015-03-24, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    5. Qiang Fu & Qian Jiao & Jingfeng Lu, 2011. "On disclosure policy in contests with stochastic entry," Public Choice, Springer, vol. 148(3), pages 419-434, September.
    6. Jeffrey Ely & Alexander Frankel & Emir Kamenica, 2015. "Suspense and Surprise," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 215-260.
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    Citations

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    Cited by:

    1. Clark, Derek J. & Kundu, Tapas, 2021. "Competitive balance: Information disclosure and discrimination in an asymmetric contest," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 178-198.
    2. Bo Chen & Marco Serena, 2020. "Bid Caps and Disclosure Policies," Working Papers tax-mpg-rps-2020-08, Max Planck Institute for Tax Law and Public Finance.
    3. Chen, Bo & Ma, Lijun & Zhu, Zhaobo & Zhou, Yu, 2020. "Disclosure policies in all-pay auctions with bid caps and stochastic entry," Economics Letters, Elsevier, vol. 186(C).
    4. Andriy Zapechelnyuk, 2020. "Optimal Quality Certification," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 161-176, June.
    5. Chen, Bo, 2020. "Disclosure policies in research contests with stochastic entry," Economics Letters, Elsevier, vol. 191(C).
    6. Christian Ewerhart & Julia Lareida, 2018. "Voluntary disclosure in asymmetric contests," ECON - Working Papers 279, Department of Economics - University of Zurich, revised Jan 2021.
    7. Luke Boosey & Philip Brookins & Dmitry Ryvkin, 2020. "Information Disclosure in Contests with Endogenous Entry: An Experiment," Management Science, INFORMS, vol. 66(11), pages 5128-5150, November.
    8. Wei-Torng Juang & Guang-Zhen Sun & Kuo-Chih Yuan, 2020. "A model of parallel contests," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(2), pages 651-672, June.

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    More about this item

    Keywords

    Bayesian persuasion; Contests; Information disclosure; Stochastic entry;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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