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Investment in the common good: free rider effect and the stability of mixed strategy equilibria

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  • Youngsoo Kim
  • H. Dharma Kwon

Abstract

In the game of investment in the common good, the free rider problem can delay the stakeholders' actions in the form of a mixed strategy equilibrium. However, it has been recently shown that the mixed strategy equilibria of the stochastic war of attrition are destabilized by even the slightest degree of asymmetry between the players. Such extreme instability is contrary to the widely accepted notion that a mixed strategy equilibrium is the hallmark of the war of attrition. Motivated by this quandary, we search for a mixed strategy equilibrium in a stochastic game of investment in the common good. Our results show that, despite asymmetry, a mixed strategy equilibrium exists if the model takes into account the repeated investment opportunities. The mixed strategy equilibrium disappears only if the asymmetry is sufficiently high. Since the mixed strategy equilibrium is less efficient than pure strategy equilibria, it behooves policymakers to prevent it by promoting a sufficiently high degree of asymmetry between the stakeholders through, for example, asymmetric subsidy.

Suggested Citation

  • Youngsoo Kim & H. Dharma Kwon, 2022. "Investment in the common good: free rider effect and the stability of mixed strategy equilibria," Papers 2208.11217, arXiv.org.
  • Handle: RePEc:arx:papers:2208.11217
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    References listed on IDEAS

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    1. Pui Chan Lon & Mihail Zervos, 2011. "A Model for Optimally Advertising and Launching a Product," Mathematics of Operations Research, INFORMS, vol. 36(2), pages 363-376, May.
    2. Luis H. R. Alvarez, 2001. "Reward functionals, salvage values, and optimal stopping," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 54(2), pages 315-337, December.
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    Cited by:

    1. Basei, Matteo & Ferrari, Giorgio & Rodosthenous, Neofytos, 2023. "Uncertainty over Uncertainty in Environmental Policy Adoption: Bayesian Learning of Unpredictable Socioeconomic Costs," Center for Mathematical Economics Working Papers 677, Center for Mathematical Economics, Bielefeld University.
    2. Matteo Basei & Giorgio Ferrari & Neofytos Rodosthenous, 2023. "Uncertainty over Uncertainty in Environmental Policy Adoption: Bayesian Learning of Unpredictable Socioeconomic Costs," Papers 2304.10344, arXiv.org, revised Feb 2024.
    3. Puru Gupta & Saul D. Jacka, 2023. "Portfolio Choice In Dynamic Thin Markets: Merton Meets Cournot," Papers 2309.16047, arXiv.org.

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