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Information disclosure in dynamic research contests

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  • Bo Chen
  • Bo Chen
  • Dmitriy Knyazev

Abstract

We study information disclosure in a dynamic multi‐agent research contest, where each agent privately searches for innovations and submits his best to compete for a winner‐takes‐all prize (Taylor, 1995). Different disclosure policies on the agents' submissions induce different equilibrium behavior, making the design of disclosure a useful instrument for contest sponsors. We analyze and compare various information disclosure policies in the contest with finite or infinite horizons. With an endogenously chosen prize, the public disclosure policy, where submissions are revealed immediately, implements the sponsor's first‐best research plan and is an optimal policy in the infinite horizon.

Suggested Citation

  • Bo Chen & Bo Chen & Dmitriy Knyazev, 2022. "Information disclosure in dynamic research contests," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 113-137, March.
    • Handle: RePEc:bla:randje:v:53:y:2022:i:1:p:113-137
    DOI: 10.1111/1756-2171.12402
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    References listed on IDEAS

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    1. Benny Moldovanu & Aner Sela, 2008. "The Optimal Allocation of Prizes in Contests," Springer Books, in: Roger D. Congleton & Arye L. Hillman & Kai A. Konrad (ed.), 40 Years of Research on Rent Seeking 1, pages 615-631, Springer.
    2. Jun Zhang & Ruqu Wang, 2009. "The Role of Information Revelation in Elimination Contests," Economic Journal, Royal Economic Society, vol. 119(536), pages 613-641, March.
    3. David Gill, 2008. "Strategic Disclosure of Intermediate Research Results," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 17(3), pages 733-758, September.
    4. Brendan Daley & Ruoyu Wang, 2018. "When to Release Feedback in a Dynamic Tournament," Decision Analysis, INFORMS, vol. 15(1), pages 11-26, March.
    5. Moscarini, Giuseppe & Squintani, Francesco, 2010. "Competitive experimentation with private information: The survivor's curse," Journal of Economic Theory, Elsevier, vol. 145(2), pages 639-660, March.
    6. Yildirim, Huseyin, 2005. "Contests with multiple rounds," Games and Economic Behavior, Elsevier, vol. 51(1), pages 213-227, April.
    7. Jun Zhang & Ruqu Wang, 2009. "The Role of Information Revelation in Elimination Contests," Economic Journal, Royal Economic Society, vol. 119(536), pages 613-641, March.
    8. Burton, M. Diane & Nicholas, Tom, 2017. "Prizes, patents and the search for longitude," Explorations in Economic History, Elsevier, vol. 64(C), pages 21-36.
    9. Marina Halac & Navin Kartik & Qingmin Liu, 2017. "Contests for Experimentation," Journal of Political Economy, University of Chicago Press, vol. 125(5), pages 1523-1569.
    10. Florian Ederer, 2010. "Feedback and Motivation in Dynamic Tournaments," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(3), pages 733-769, September.
    11. Rieck, Thomas, 2010. "Information Disclosure in Innovation Contests," Bonn Econ Discussion Papers 16/2010, University of Bonn, Bonn Graduate School of Economics (BGSE).
    12. Christian Seel & Philipp Strack, 2016. "Continuous Time Contests with Private Information," Mathematics of Operations Research, INFORMS, vol. 41(3), pages 1093-1107, August.
    13. Maria Goltsman & Arijit Mukherjee, 2011. "Interim Performance Feedback in Multistage Tournaments: The Optimality of Partial Disclosure," Journal of Labor Economics, University of Chicago Press, vol. 29(2), pages 229-265.
    14. Richard L. Fullerton & R. Preston McAfee, 1999. "Auctioning Entry into Tournaments," Journal of Political Economy, University of Chicago Press, vol. 107(3), pages 573-605, June.
    15. Aoyagi, Masaki, 2010. "Information feedback in a dynamic tournament," Games and Economic Behavior, Elsevier, vol. 70(2), pages 242-260, November.
    16. Taylor, Curtis R, 1995. "Digging for Golden Carrots: An Analysis of Research Tournaments," American Economic Review, American Economic Association, vol. 85(4), pages 872-890, September.
    17. Maskin, Eric & Tirole, Jean, 2001. "Markov Perfect Equilibrium: I. Observable Actions," Journal of Economic Theory, Elsevier, vol. 100(2), pages 191-219, October.
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