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Team vs. Individual, Hypothesis Testing vs. Model Selection, and the Minimax Model

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  • Yoshitaka Okano

    (School of Economics and Management, Kochi University of Technology)

Abstract

We report results of an experiment comparing team and individual behavior in a two-player zero-sum game, and assess the predictive power of the minimax model. Based on hypothesis testing, the play of teams is consistent with the minimax hypothesis in the first half of the experiment, but the play of teams in the second half, and that of individuals in both halves are not. Based on model selection, the aggregated behavior of teams in the first half is best fitted by a belief-based learning model, whereas that of teams in the second half and that of individuals in both halves are best fitted by the minimax model. At the decision-maker level, the minimax model is best for about half of the teams and individuals.

Suggested Citation

  • Yoshitaka Okano, 2017. "Team vs. Individual, Hypothesis Testing vs. Model Selection, and the Minimax Model," Working Papers SDES-2017-18, Kochi University of Technology, School of Economics and Management, revised Oct 2017.
  • Handle: RePEc:kch:wpaper:sdes-2017-18
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    File URL: http://www.souken.kochi-tech.ac.jp/seido/wp/SDES-2017-18.pdf
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    References listed on IDEAS

    as
    1. Okano, Yoshitaka, 2013. "Minimax play by teams," Games and Economic Behavior, Elsevier, vol. 77(1), pages 168-180.
    2. Arthur, W Brian, 1993. "On Designing Economic Agents That Behave Like Human Agents," Journal of Evolutionary Economics, Springer, vol. 3(1), pages 1-22, February.
    3. Van Essen, Matt & Wooders, John, 2015. "Blind stealing: Experience and expertise in a mixed-strategy poker experiment," Games and Economic Behavior, Elsevier, vol. 91(C), pages 186-206.
    4. Yoshitaka Okano, 2016. "Re-examination of team’s play in a mixed-strategy game experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 23(8), pages 601-604, May.
    5. Arthur, W Brian, 1991. "Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality," American Economic Review, American Economic Association, vol. 81(2), pages 353-359, May.
    6. David J. Cooper & John H. Kagel, 2005. "Are Two Heads Better Than One? Team versus Individual Play in Signaling Games," American Economic Review, American Economic Association, vol. 95(3), pages 477-509, June.
    7. John H. Kagel & Peter McGee, 2016. "Team versus Individual Play in Finitely Repeated Prisoner Dilemma Games," American Economic Journal: Microeconomics, American Economic Association, vol. 8(2), pages 253-276, May.
    8. Gary Bornstein & Ilan Yaniv, 1998. "Individual and Group Behavior in the Ultimatum Game: Are Groups More “Rational” Players?," Experimental Economics, Springer;Economic Science Association, vol. 1(1), pages 101-108, June.
    9. Thum, Marcel & Auerswald, Heike & Schmidt, Carsten & Torsvik, Gaute, 2014. "Teams Contribute More and Punish Less," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100537, Verein für Socialpolitik / German Economic Association.
    10. Sutter, Matthias & Czermak, Simon & Feri, Francesco, 2013. "Strategic sophistication of individuals and teams. Experimental evidence," European Economic Review, Elsevier, vol. 64(C), pages 395-410.
    11. Cheung, Yin-Wong & Friedman, Daniel, 1997. "Individual Learning in Normal Form Games: Some Laboratory Results," Games and Economic Behavior, Elsevier, vol. 19(1), pages 46-76, April.
    12. Gary Charness & Matthias Sutter, 2012. "Groups Make Better Self-Interested Decisions," Journal of Economic Perspectives, American Economic Association, vol. 26(3), pages 157-176, Summer.
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    More about this item

    Keywords

    Minimax; team decision-making; model selection; learning;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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