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Dynamic expert incentives in teams

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  • Wong, Tsz-Ning
  • Yang, Lily Ling

Abstract

We consider a model of dynamic expertise, in which two experts with the same bias exert efforts over time to discover the state of the world and are able to send verifiable messages about the discovery to a decision maker. We show that dynamic revelation of information causes the experts' incentives to acquire information to evolve over time. This leads to novel collaboration dynamics and, in particular, the introduction of another expert can have a “motivating” effect on the existing expert in spite of the incentive to free ride. We further set up the planner's problem and discuss when the (constrained) social optimum can be achieved.

Suggested Citation

  • Wong, Tsz-Ning & Yang, Lily Ling, 2021. "Dynamic expert incentives in teams," Games and Economic Behavior, Elsevier, vol. 125(C), pages 27-47.
    • Handle: RePEc:eee:gamebe:v:125:y:2021:i:c:p:27-47
    DOI: 10.1016/j.geb.2020.10.005
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    References listed on IDEAS

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    Cited by:

    1. Tsz-Ning Wong & Lily Ling Yang & Andrey Zhukov, 2024. "Optimal Disclosure Mandate in Supply Chains," UB School of Economics Working Papers 2024/468, University of Barcelona School of Economics.
    2. Tsz-Ning Wong & Lily Ling Yang & Andrey Zhukov, 2024. "Optimal Disclosure Mandate in Supply Chains," CRC TR 224 Discussion Paper Series crctr224_2024_560, University of Bonn and University of Mannheim, Germany.

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