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Tug-of-War in the Laboratory

Author

Listed:
  • Cary Deck

    (Department of Economics, University of Arkansad and Economic Science Institute, Chapman University)

  • Roman M. Sheremeta

    (Economic Science Institute, Chapman University and Weatherhead School of Management, Case Western Reserve University)

Abstract
Tug-of-war is a multi-battle contest often used to describe extended interactions in economics, management, political science, and other disciplines. While there has been some theoretical work, there is scant empirical evidence regarding behavior in a tug-of-war game. To the best of our knowledge, this paper provides the first experimental study of the tug-of-war. The results show notable deviations of behavior from theory. In the first battle of the tug-of-war, subjects exert fewer resources, while in the follow-up battles, they exert more resources than predicted. Also, contrary to the theoretical prediction, resource expenditures tend to increase in the duration of the tug-of-war. Finally, extending the margin necessary to win the tug-of-war causes more discouragement than either a reduction in the prize or greater impatience despite all three having the same expected effect. Potential behavioral explanations for these findings are also discussed.

Suggested Citation

  • Cary Deck & Roman M. Sheremeta, 2015. "Tug-of-War in the Laboratory," Working Papers 15-14, Chapman University, Economic Science Institute.
    • Handle: RePEc:chu:wpaper:15-14
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Dong, Lu & Huang, Lingbo, 2019. "Is there no ‘I’ in team? Strategic effects in multi-battle team competition," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    2. Dan Kovenock & Brian Roberson & Roman M. Sheremeta, 2019. "The attack and defense of weakest-link networks," Public Choice, Springer, vol. 179(3), pages 175-194, June.
    3. Shakun D. Mago & Roman M. Sheremeta, 2017. "Multi‐battle Contests: An Experimental Study," Southern Economic Journal, John Wiley & Sons, vol. 84(2), pages 407-425, October.
    4. Kai A. Konrad & Florian Morath, 2020. "Escalation in conflict games: on beliefs and selection," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 750-787, September.
    5. Karagözoğlu, Emin & Sağlam, Çağrı & Turan, Agah R., 2021. "Perseverance and suspense in tug-of-war," Journal of Mathematical Economics, Elsevier, vol. 95(C).
    6. Christian Ewerhart & Julian Teichgräber, 2019. "Multi-battle contests, finite automata, and the tug-of-war," ECON - Working Papers 318, Department of Economics - University of Zurich.

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    More about this item

    Keywords

    tug-of-war; all-pay auction; multi-stage contest; laboratory experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions

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