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Replication: Do Coaches Stick With What Barely Worked? Evidence of Outcome Bias in Professional Sports

Author

Listed:
  • Pascal Flurin Meier

    (Department of Business Administration, University of Zurich)

  • Raphael Flepp

    (Department of Business Administration, University of Zurich)

  • Egon Franck

    (Department of Business Administration, University of Zurich)

Abstract

Consistent with outcome bias, we replicate the finding of Lefgren et al. (2015) showing that professional basketball coaches in the NBA discontinuously change their starting lineup more often after narrow losses than after narrow wins, even though this outcome is conditionally uninformative. As our paper shows, this pattern is not restricted to the NBA; we find evidence of outcome bias in the top women’s professional basketball league and college basketball. Finally, we show that outcome bias in coaching decisions generalizes to the National Football League (NFL). We conclude that outcome bias is credible and robust, although it has weakened over time.

Suggested Citation

  • Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2023. "Replication: Do Coaches Stick With What Barely Worked? Evidence of Outcome Bias in Professional Sports," Working Papers 400, University of Zurich, Department of Business Administration (IBW).
  • Handle: RePEc:zrh:wpaper:400
    as

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    File URL: http://repec.business.uzh.ch/RePEc/zrh/wpaper/400_IBW_full.pdf
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    References listed on IDEAS

    as
    1. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
    2. Raphael Flepp & Pascal Flurin Meier, 2024. "Struck by Luck: Noisy Capability Cues and CEO Dismissal," Working Papers 389, University of Zurich, Department of Business Administration (IBW).
    3. Joseph Price & Justin Wolfers, 2010. "Racial Discrimination Among NBA Referees," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(4), pages 1859-1887.
    4. Matias D. Cattaneo & Nicolas Idrobo & Rocio Titiunik, 2019. "A Practical Introduction to Regression Discontinuity Designs: Foundations," Papers 1911.09511, arXiv.org.
    5. Kausel, Edgar E. & Ventura, Santiago & Rodríguez, Arturo, 2019. "Outcome bias in subjective ratings of performance: Evidence from the (football) field," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    6. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    7. Romain Gauriot & Lionel Page, 2019. "Fooled by Performance Randomness: Overrewarding Luck," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 658-666, October.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Ricardo Manuel Santos, 2024. "Modelling Strategies in Sports," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 52(2), pages 57-66, September.

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    More about this item

    Keywords

    Outcome bias; Strategy revision; Regression discontinuity design; Replication;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • Z20 - Other Special Topics - - Sports Economics - - - General

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