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Strive to be first or avoid being last: An experiment on relative performance incentives

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  • E. Glenn Dutcher
  • Loukas Balafoutas
  • Florian Lindner
  • Dmitry Ryvkin
  • Matthias Sutter

Abstract

Managers often use tournaments which motivate workers to compete for the top, compete to avoid the bottom, or both. In this paper we compare the effectiveness and efficiency of the corresponding incentive schemes. To do so, we utilize optimal contracts in a principal-agent setting, using a Lazear-Rosen type model that predicts equal effort and efficiency levels for the three mechanisms with the appropriate distribution of prizes. We test the model's predictions in a laboratory experiment and find that a mechanism which incorporates both competition for the top and away from the bottom produces the highest effort from agents, especially in contests of a relatively larger size. Avoiding being last is shown to produce the lowest variance of effort, be more effective and, in larger contests, more efficient than competing for the top. Finally, we show that behavior in all mechanisms is consistent with basic directional and reinforcement learning.

Suggested Citation

  • E. Glenn Dutcher & Loukas Balafoutas & Florian Lindner & Dmitry Ryvkin & Matthias Sutter, 2013. "Strive to be first or avoid being last: An experiment on relative performance incentives," Working Papers 2013-08, Faculty of Economics and Statistics, Universität Innsbruck.
  • Handle: RePEc:inn:wpaper:2013-08
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    3. Loukas Balafoutas & E. Glenn Dutcher & Florian Lindner & Dmitry Ryvkin, 2017. "The Optimal Allocation Of Prizes In Tournaments Of Heterogeneous Agents," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 461-478, January.
    4. Philipp Schreck, 2020. "Volume or value? How relative performance information affects task strategy and performance," Journal of Business Economics, Springer, vol. 90(5), pages 733-755, June.
    5. Drugov, Mikhail & Ryvkin, Dmitry, 2020. "Tournament rewards and heavy tails," Journal of Economic Theory, Elsevier, vol. 190(C).
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    8. Daniel Houser & Jian Song, 2021. "Asymmetric Shocks in Contests: Theory and Experiment," Working Papers 1081, George Mason University, Interdisciplinary Center for Economic Science.
    9. Simon Piest & Philipp Schreck, 2021. "Contests and unethical behavior in organizations: a review and synthesis of the empirical literature," Management Review Quarterly, Springer, vol. 71(4), pages 679-721, October.
    10. Balafoutas, Loukas & Sutter, Matthias, 2019. "How uncertainty and ambiguity in tournaments affect gender differences in competitive behavior," European Economic Review, Elsevier, vol. 118(C), pages 1-13.
    11. Hermann, Daniel & Mußhoff, Oliver & Rau, Holger A., 2019. "The disposition effect when deciding on behalf of others," Journal of Economic Psychology, Elsevier, vol. 74(C).
    12. Boosey, Luke & Brookins, Philip & Ryvkin, Dmitry, 2017. "Contests with group size uncertainty: Experimental evidence," Games and Economic Behavior, Elsevier, vol. 105(C), pages 212-229.
    13. Bettina Rockenbach & Sebastian Schneiders & Marcin Waligora, 2018. "Pushing the bad away: reverse Tullock contests," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 4(1), pages 73-85, July.
    14. Cadsby, C. Bram & Song, Fei & Engle-Warnick, Jim & Fang, Tony, 2019. "Invoking social comparison to improve performance by ranking employees: The moderating effects of public ranking, rank pay, and individual risk attitude," Journal of Economic Psychology, Elsevier, vol. 72(C), pages 64-79.
    15. Thomas Giel & Sören Dallmeyer & Daniel Memmert & Christoph Breuer, 2023. "Corruption and Self-Sabotage in Sporting Competitions – An Experimental Approach to Match-Fixing Behavior and the Influence of Deterrence Factors," Journal of Sports Economics, , vol. 24(4), pages 497-525, May.
    16. Philip Brookins & John P. Lightle & Dmitry Ryvkin, 2015. "The effects of communication and sorting on output in heterogeneous weak-link group contests," Working Papers wp2014_01_01, Department of Economics, Florida State University.
    17. Zhang, Kun & Yang, Xiaolan & Gao, Mei, 2023. "When to use tournament incentives? Evidence from an investment experiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    18. E. Glenn Dutcher & Regine Oexl & Dmitry Ryvkin & Tim Salmon, 2021. "Competitive versus cooperative incentives in team production with heterogeneous agents," Working Papers 2021-26, Faculty of Economics and Statistics, Universität Innsbruck.
    19. Brünner, Tobias, 2020. "Self-selection with non-equilibrium beliefs: Predicting behavior in a tournament experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 389-396.
    20. Hoffmann, Christin & Thommes, Kirsten, 2020. "Can digital feedback increase employee performance and energy efficiency in firms? Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 49-65.
    21. Philip Brookins & Jennifer Brown & Dmitry Ryvkin, 2016. "Peer Information and Risk-taking under Competitive and Non-competitive Pay Schemes," NBER Working Papers 22486, National Bureau of Economic Research, Inc.
    22. Elizabeth Sheedy & Le Zhang & Dominik Steffan, 2022. "Scorecards, gateways and rankings: remuneration and conduct in financial services," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3239-3283, September.
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    More about this item

    Keywords

    tournament; reward; punishment; promotion; firing; contract; experiment; learning;
    All these keywords.

    JEL classification:

    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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