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Achieving Efficiency in Dynamic Contribution Games

Author

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  • Jakša Cvitanić
  • George Georgiadis

Abstract

We analyze a game in which a group of agents exerts costly effort over time to make progress on a project. The project is completed once the cumulative effort reaches a prespecified threshold, at which point it generates a lump-sum payoff. We characterize a budget-balanced mechanism that induces each agent to exert the first-best effort level as the outcome of a Markov perfect equilibrium, thus eliminating the free-rider problem. We also show how our mechanism can be adapted to other dynamic games with externalities, such as strategic experimentation and the dynamic extraction of a common resource.

Suggested Citation

  • Jakša Cvitanić & George Georgiadis, 2016. "Achieving Efficiency in Dynamic Contribution Games," American Economic Journal: Microeconomics, American Economic Association, vol. 8(4), pages 309-342, November.
  • Handle: RePEc:aea:aejmic:v:8:y:2016:i:4:p:309-42
    Note: DOI: 10.1257/mic.20160018
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    References listed on IDEAS

    as
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    Cited by:

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    2. Niko Jaakkola & Florian Wagener, 2020. "All symmetric equilibria in differential games with public goods," Tinbergen Institute Discussion Papers 20-020/II, Tinbergen Institute.
    3. Cason, Timothy N. & Zubrickas, Robertas, 2019. "Donation-based crowdfunding with refund bonuses," European Economic Review, Elsevier, vol. 119(C), pages 452-471.
    4. Georgiadis, George, 2017. "Deadlines and infrequent monitoring in the dynamic provision of public goods," Journal of Public Economics, Elsevier, vol. 152(C), pages 1-12.
    5. Tajika, Tomoya, 2020. "Contribute once! Full efficiency in a dynamic contribution game," Games and Economic Behavior, Elsevier, vol. 123(C), pages 228-239.
    6. Boyan Jovanovic & Sai Ma, 2023. "Growth through learning," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 50, pages 211-234, October.
    7. Sebastien Rouillon, 2018. "Noncooperative Dynamic Contribution to a Public Project," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-24, September.
    8. Xiang Yu & Yuchong Zhang & Zhou Zhou, 2020. "Teamwise Mean Field Competitions," Papers 2006.14472, arXiv.org, revised May 2021.
    9. Brendan Daley & Ruoyu Wang, 2018. "When to Release Feedback in a Dynamic Tournament," Decision Analysis, INFORMS, vol. 15(1), pages 11-26, March.

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    More about this item

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices

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