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Observing your competitor – The role of effort information in two-stage tournaments

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  • Ludwig, Sandra
  • Lünser, Gabriele K.

Abstract

We consider two-stage tournaments with different information structures: Either competitors observe each others’ first-stage effort before entering the second stage or not. In laboratory experiments, we observe that subjects adjust their effort to the effort information (if available): While subjects who lead continue to exert the higher effort, they tend to lower their effort relative to the first stage, whereas those who lag increase it. Moreover, the larger the first-stage effort gap, the lower are second-stage efforts. These observations are consistent with our predictions for status-concerned subjects who care about their relative (interim) standing and the size of the effort gap.

Suggested Citation

  • Ludwig, Sandra & Lünser, Gabriele K., 2012. "Observing your competitor – The role of effort information in two-stage tournaments," Journal of Economic Psychology, Elsevier, vol. 33(1), pages 166-182.
  • Handle: RePEc:eee:joepsy:v:33:y:2012:i:1:p:166-182
    DOI: 10.1016/j.joep.2011.09.011
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    3. Migheli, Matteo, 2019. "Competing for promotion: Are “THE BEST” always the best?," Research in Economics, Elsevier, vol. 73(2), pages 149-161.
    4. Gwen-Jiro Clochard & Guillaume Hollard & Julia Wirtz, 2022. "More effort or better technologies? On the effect of relative performance feedback," Bristol Economics Discussion Papers 22/767, School of Economics, University of Bristol, UK.
    5. Eisenkopf, Gerald & Friehe, Tim, 2014. "Stop watching and start listening! The impact of coaching and peer observation in tournaments," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 56-70.
    6. Graff, Frederik & Grund, Christian & Harbring, Christine, 2021. "Competing on the Holodeck - The effect of virtual peers and heterogeneity in dynamic tournaments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    7. Eisenkopf, Gerald & Teyssier, Sabrina, 2013. "Envy and loss aversion in tournaments," Journal of Economic Psychology, Elsevier, vol. 34(C), pages 240-255.
    8. Shinya Kajitani & Keiichi Morimoto & Shiba Suzuki, 2017. "Relative Performance Information Feedback and Just-Pass Behavior: Evidence from a Field Experiment," Discussion Papers 36, Meisei University, School of Economics.
    9. Jeroen Nieboer, 2022. "Positional enhancement in effort-based social comparisons," Discussion Papers 2022-02, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    10. Delfgaauw, Josse & Dur, Robert & Non, Arjan & Verbeke, Willem, 2014. "Dynamic incentive effects of relative performance pay: A field experiment," Labour Economics, Elsevier, vol. 28(C), pages 1-13.
    11. Shakun D. Mago & Anya C. Savikhin & Roman M. Sheremeta, 2012. "Facing Your Opponents: Social identification and information feedback in contests," Working Papers 12-15, Chapman University, Economic Science Institute.
    12. Chao, Hong & Ho, Chun-Yu & Huang, Shaoqing & Qin, Xiangdong & Cong, Jiajia, 2019. "Partners or rivals? An experimental study of a two-stage tournament," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 288-310.
    13. Benistant, Julien & Galeotti, Fabio & Villeval, Marie Claire, 2021. "The Distinct Impact of Information and Incentives on Cheating," IZA Discussion Papers 14014, Institute of Labor Economics (IZA).
    14. Shinya Kajitani & Keiichi Morimoto & Shiba Suzuki, 2020. "Information feedback in relative grading: Evidence from a field experiment," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-19, April.
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    16. Sandra Schneemann & Christian Deutscher, 2017. "Intermediate Information, Loss Aversion, And Effort: Empirical Evidence," Economic Inquiry, Western Economic Association International, vol. 55(4), pages 1759-1770, October.

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    More about this item

    Keywords

    Tournament design; Status; Feedback; Incentives; Experiment;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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