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Efficiency gains through social influence in a minimum effort game

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  • Arifovic, Jasmina
  • Dawid, Herbert
  • Nanumyan, Mariam

Abstract

We explore the role of social influence in coordinating effort choice in a game with strategic complementarities. Agents are repeatedly randomly partitioned into groups to play a minimum effort game and choose their effort based on their beliefs about the minimal effort among the other group members. Individual expectations about this minimal effort are influenced by their own experience and by communication of beliefs within a social network. We show that increasing the importance of social influence in the expectation formation process has positive effects on the emerging (long-run) effort level, thereby improving the efficiency of the outcome. Furthermore, a more centralized social network leads to higher average efficiency, but also to increased variance of outcomes. Communication of actual minimum effort cannot replace the communication of beliefs as a device fostering the emergence of high long-run effort.

Suggested Citation

  • Arifovic, Jasmina & Dawid, Herbert & Nanumyan, Mariam, 2025. "Efficiency gains through social influence in a minimum effort game," Journal of Economic Dynamics and Control, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:dyncon:v:172:y:2025:i:c:s0165188924001696
    DOI: 10.1016/j.jedc.2024.104977
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    1. Michel Grabisch & Agnieszka Rusinowska, 2020. "A Survey on Nonstrategic Models of Opinion Dynamics," Games, MDPI, vol. 11(4), pages 1-29, December.
    2. Benjamin Golub & Matthew O. Jackson, 2009. "How Homophily Affects Learning and Diffusion in Networks," Working Papers 2009.35, Fondazione Eni Enrico Mattei.
    3. Jasmina Arifovic & James Bullard & Olena Kostyshyna, 2013. "Social Learning and Monetary Policy Rules," Economic Journal, Royal Economic Society, vol. 123(567), pages 38-76, March.
    4. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 2016. "Understanding Booms and Busts in Housing Markets," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 1088-1147.
    5. Buechel, Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2023. "Misinformation due to asymmetric information sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    6. Van Huyck, John B & Battalio, Raymond C & Beil, Richard O, 1990. "Tacit Coordination Games, Strategic Uncertainty, and Coordination Failure," American Economic Review, American Economic Association, vol. 80(1), pages 234-248, March.
    7. Arno Riedl & Ingrid M. T. Rohde & Martin Strobel, 2016. "Efficient Coordination in Weakest-Link Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 737-767.
    8. Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
    9. Arifovic, Jasmina & Dawid, Herbert & Deissenberg, Christophe & Kostyshyna, Olena, 2010. "Learning benevolent leadership in a heterogenous agents economy," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1768-1790, September.
    10. Arifovic, Jasmina & Eaton, Curtis, 1995. "Coordination via Genetic Learning," Computational Economics, Springer;Society for Computational Economics, vol. 8(3), pages 181-203, August.
    11. Anderson, Simon P. & Goeree, Jacob K. & Holt, Charles A., 2001. "Minimum-Effort Coordination Games: Stochastic Potential and Logit Equilibrium," Games and Economic Behavior, Elsevier, vol. 34(2), pages 177-199, February.
    12. John Bryant, 1983. "A Simple Rational Expectations Keynes-type Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(3), pages 525-528.
    13. Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003. "Persuasion Bias, Social Influence, and Unidimensional Opinions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 909-968.
    14. John Van Huyck & Dale O. Stahl, 2018. "Conditional behavior and learning in similar stag hunt games," Experimental Economics, Springer;Economic Science Association, vol. 21(3), pages 513-526, September.
    15. Benjamin Golub & Matthew O. Jackson, 2010. "Naïve Learning in Social Networks and the Wisdom of Crowds," American Economic Journal: Microeconomics, American Economic Association, vol. 2(1), pages 112-149, February.
    16. Daron Acemoglu & Asuman Ozdaglar, 2011. "Opinion Dynamics and Learning in Social Networks," Dynamic Games and Applications, Springer, vol. 1(1), pages 3-49, March.
    17. Goeree, Jacob K. & Holt, Charles A., 2005. "An experimental study of costly coordination," Games and Economic Behavior, Elsevier, vol. 51(2), pages 349-364, May.
    18. Blume, Andreas & Ortmann, Andreas, 2007. "The effects of costless pre-play communication: Experimental evidence from games with Pareto-ranked equilibria," Journal of Economic Theory, Elsevier, vol. 132(1), pages 274-290, January.
    19. Kriss, Peter H. & Blume, Andreas & Weber, Roberto A., 2016. "Coordination with decentralized costly communication," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 225-241.
    20. Veronika Grimm & Friederike Mengel, 2020. "Experiments on Belief Formation in Networks," Journal of the European Economic Association, European Economic Association, vol. 18(1), pages 49-82.
    21. Julio J. Rotemberg, 2017. "Group Learning, Wage Dispersion and Non-stationary Offers," Economica, London School of Economics and Political Science, vol. 84(335), pages 365-392, July.
    22. Roy Chen & Yan Chen, 2011. "The Potential of Social Identity for Equilibrium Selection," American Economic Review, American Economic Association, vol. 101(6), pages 2562-2589, October.
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    More about this item

    Keywords

    Minimum effort game; Expectation formation; Social influence; Belief communication;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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