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The Hot-Hand Fallacy: Cognitive Mistakes or Equilibrium Adjustments? Evidence from Major League Baseball

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  • Brett Green

    (Haas School of Business, University of California, Berkeley, Berkeley, California 94720)

  • Jeffrey Zwiebel

    (Graduate School of Business, Stanford University, Stanford, California 94305)

Abstract

We test for a “hot hand” (i.e., short-term predictability in performance) in Major League Baseball using panel data. We find strong evidence for its existence in all 10 statistical categories we consider. The magnitudes are significant; being “hot” corresponds to between one-half and one standard deviation in the distribution of player abilities. Our results are in notable contrast to the majority of the hot-hand literature, which has generally found either no hot hand or a very weak hot hand in sports, often employing basketball shooting data. We argue that this difference is attributable to endogenous defensive responses: basketball presents sufficient opportunity for transferring defensive resources to equate shooting probabilities across players, whereas baseball does not. We then develop a method to test whether baseball teams do respond appropriately to hot opponents. Our results suggest teams respond in a manner consistent with drawing correct inference about the magnitude of the hot hand except for a tendency to overreact to very recent performance (i.e., the last five attempts).

Suggested Citation

  • Brett Green & Jeffrey Zwiebel, 2018. "The Hot-Hand Fallacy: Cognitive Mistakes or Equilibrium Adjustments? Evidence from Major League Baseball," Management Science, INFORMS, vol. 64(11), pages 5315-5348, November.
    • Handle: RePEc:inm:ormnsc:v:64:y:2018:i:11:p:5315-5348
    DOI: 10.1287/mnsc.2017.2804
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    References listed on IDEAS

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    Cited by:

    1. Evans, Andrew E. & Crosby, Paul, 2021. "Does a cool head beat a hot hand? Evidence from professional golf," Economic Modelling, Elsevier, vol. 97(C), pages 272-284.
    2. Michels, Rouven & Ötting, Marius & Langrock, Roland, 2023. "Bettors’ reaction to match dynamics: Evidence from in-game betting," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1118-1127.
    3. Daniel L. Chen & Tobias J. Moskowitz & Kelly Shue, 2016. "Decision Making Under the Gambler’s Fallacy: Evidence from Asylum Judges, Loan Officers, and Baseball Umpires," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1181-1242.
    4. Robert Lantis & Erik Nesson, 2021. "Hot Shots: An Analysis of the “Hot Hand†in NBA Field Goal and Free Throw Shooting," Journal of Sports Economics, , vol. 22(6), pages 639-677, August.
    5. Robert Wrathall & Rod Falvey & Gulasekaran Rajaguru, 2020. "Do (Australian) jockeys have hot hands?," Australian Journal of Management, Australian School of Business, vol. 45(2), pages 223-239, May.
    6. Konstantinos Pelechrinis & Wayne Winston, 2022. "The hot hand in the wild," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-12, January.
    7. Jeremy M. Losak & Andrew P. Weinbach & Rodney J. Paul, 2023. "Behavioral Biases in Daily Fantasy Baseball: The Case of the Hot Hand," Journal of Sports Economics, , vol. 24(3), pages 374-401, April.
    8. Legge, Stefan & Schmid, Lukas, 2016. "Media attention and betting markets," European Economic Review, Elsevier, vol. 87(C), pages 304-333.
    9. Philippe Meier & Maximilian Rüdisser & Raphael Flepp & Egon Franck, 2019. "Investigating the conditions for psychological momentum in the field: Evidence from men’s professional tennis," Working Papers 383, University of Zurich, Department of Business Administration (IBW).
    10. Miller, Joshua B. & Sanjurjo, Adam, 2021. "Is it a fallacy to believe in the hot hand in the NBA three-point contest?," European Economic Review, Elsevier, vol. 138(C).
    11. Chen, Daniel L. & Moskowitz, Tobias J. & Shue, Kelly, 2016. "Decision-Making Under the Gambler’s Fallacy: Evidence From Asylum Courts, Loan Officers, and Baseball Umpires," IAST Working Papers 16-43, Institute for Advanced Study in Toulouse (IAST).
    12. Evans, Andrew E. & Crosby, Paul & Shin, Sunny Y., 2023. "Psychological momentum among non-experts: Evidence from club golfers," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
    13. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2022. "Gambling on Momentum," Economics Discussion Papers em-dp2022-10, Department of Economics, University of Reading.
      • Marius Otting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2022. "Gambling on Momentum," Papers 2211.06052, arXiv.org.
    14. Jordan Truman Paul Noel & Vinicius Prado da Fonseca & Amilcar Soares, 2024. "A Comprehensive Data Pipeline for Comparing the Effects of Momentum on Sports Leagues," Data, MDPI, vol. 9(2), pages 1-17, February.
    15. Meier, Philippe & Flepp, Raphael & Ruedisser, Maximilian & Franck, Egon, 2020. "Separating psychological momentum from strategic momentum: Evidence from men’s professional tennis," Journal of Economic Psychology, Elsevier, vol. 78(C).
    16. Phong T. H. Ngo & Steven Roberts, 2021. "There is no ‘I’ in team: Career concerns, risk‐taking incentives, and team outcomes," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(1), pages 122-138, February.
    17. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2023. "Gambling on Momentum in Contests," Economics Discussion Papers em-dp2023-08, Department of Economics, University of Reading.

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