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Disclosure Policies in All-Pay Auctions with Bid Caps

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  • Chen, Bo
  • Serena, Marco

Abstract

In this paper, we study the optimal disclosure of bidders’ types in a two-bidder all-pay auction in the presence of a common and exogenously given bid cap. We focus on the set of disclosure policies that are contingent on realizations of bidders’ types and fully characterize the unique symmetric equilibrium under each of them. We find that, allowing only for full disclosure and full concealment, the ex ante expected revenue is higher under full disclosure only for intermediate levels of the bid cap. Allowing also for partial disclosure policies: (i) the ex ante expected revenue under full disclosure is higher than under partial disclosure to low-type bidders but lower than under partial disclosure to high-type bidders, regardless of the bid cap; (ii) full concealment could rank from the highest to the third highest, depending on the bid cap, the prior type distribution, and the type values. These results are due to the different sensitivities of bidders’ bids across bidders’ types and disclosure policies.

Suggested Citation

  • Chen, Bo & Serena, Marco, 2023. "Disclosure Policies in All-Pay Auctions with Bid Caps," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 141-160.
    • Handle: RePEc:eee:jeborg:v:209:y:2023:i:c:p:141-160
    DOI: 10.1016/j.jebo.2022.10.002
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    References listed on IDEAS

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    1. Szech, Nora, 2015. "Tie-breaks and bid-caps in all-pay auctions," Games and Economic Behavior, Elsevier, vol. 92(C), pages 138-149.
    2. Qiang Fu & Jingfeng Lu & Jun Zhang, 2016. "Disclosure policy in Tullock contests with asymmetric stochastic entry," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(1), pages 52-75, February.
    3. Arieh Gavious & Benny Moldovanu & Aner Sela, 2002. "Bid Costs and Endogenous Bid Caps," RAND Journal of Economics, The RAND Corporation, vol. 33(4), pages 709-722, Winter.
    4. Yeon-Koo Che & Ian L. Gale, 2008. "Caps on Political Lobbying," Springer Books, in: Roger D. Congleton & Kai A. Konrad & Arye L. Hillman (ed.), 40 Years of Research on Rent Seeking 2, pages 337-345, Springer.
    5. 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).
    6. Warneryd, Karl, 2003. "Information in conflicts," Journal of Economic Theory, Elsevier, vol. 110(1), pages 121-136, May.
    7. Chen, Bo, 2019. "On the effects of bid caps in all-pay auctions," Economics Letters, Elsevier, vol. 177(C), pages 60-65.
    8. Olszewski, Wojciech & Siegel, Ron, 2019. "Bid caps in large contests," Games and Economic Behavior, Elsevier, vol. 115(C), pages 101-112.
    9. Jun Zhang & Junjie Zhou, 2016. "Information Disclosure in Contests: A Bayesian Persuasion Approach," Economic Journal, Royal Economic Society, vol. 126(597), pages 2197-2217, November.
    10. 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.
    11. Jingfeng Lu & Hongkun Ma & Zhe Wang, 2018. "Ranking Disclosure Policies In All‐Pay Auctions," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1464-1485, July.
    12. Jun Zhang & Junjie Zhou, 2016. "Information Disclosure in Contests: A Bayesian Persuasion Approach," Economic Journal, Royal Economic Society, vol. 126(597), pages 2197-2217.
    13. Fu, Qiang & Jiao, Qian & Lu, Jingfeng, 2014. "Disclosure policy in a multi-prize all-pay auction with stochastic abilities," Economics Letters, Elsevier, vol. 125(3), pages 376-380.
    14. 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.
    15. Marco Serena, 2022. "Harnessing beliefs to optimally disclose contestants’ types," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(3), pages 763-792, October.
    16. Morath, Florian & Münster, Johannes, 2008. "Private versus complete information in auctions," Economics Letters, Elsevier, vol. 101(3), pages 214-216, December.
    17. Lim, Wooyoung & Matros, Alexander, 2009. "Contests with a stochastic number of players," Games and Economic Behavior, Elsevier, vol. 67(2), pages 584-597, November.
    18. Chen, Bo & Jiang, Xiandeng & Knyazev, Dmitriy, 2017. "On disclosure policies in all-pay auctions with stochastic entry," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 66-73.
    19. Chen, Zhuoqiong, 2021. "Optimal information exchange in contests," Journal of Mathematical Economics, Elsevier, vol. 96(C).
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    More about this item

    Keywords

    contest; all-pay auction; stochastic abilities; bid cap; disclosure;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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