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The Dynamics of Inattention in the (Baseball) Field

Author

Listed:
  • James Archsmith
  • Anthony Heyes
  • Matthew Neidell
  • Bhaven Sampat

Abstract

Recent theoretical and empirical work characterises attention as a costly resource that decision-makers allocate strategically. There has been less research on the dynamic interdependence of attention: how paying attention now may affect performance later. In this paper, we exploit high-frequency data on decision-making by Major League Baseball umpires to examine this. We find that umpires apply greater effort to higher-stakes decisions, but also that effort applied to earlier decisions increases errors later. These findings are consistent with the umpire being endowed with a depletable ‘budget’ of attention or the psychological theory of ego depletion. There is no such interdependence across the breaks that occur during the game (at the end of each half-inning) suggesting that even short rest periods can replenish attention budgets. An expectation of higher-stakes decisions in the future induces reduced attention to current decisions, consistent with a forward-looking agent allocating his budget strategically across a sequence of decisions of varying importance. We believe this to be the first large-scale empirical demonstration, from economics or psychology, that individuals may manage the stock of attention in anticipation of future use.

Suggested Citation

  • James Archsmith & Anthony Heyes & Matthew Neidell & Bhaven Sampat, 2025. "The Dynamics of Inattention in the (Baseball) Field," The Economic Journal, Royal Economic Society, vol. 135(671), pages 2192-2219.
  • Handle: RePEc:oup:econjl:v:135:y:2025:i:671:p:2192-2219.
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    File URL: http://hdl.handle.net/10.1093/ej/ueaf030
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    Cited by:

    1. is not listed on IDEAS
    2. Koch, Alexander K. & Monster, Dan & Nafziger, Julia, 2023. "Nudging in Complex Environments," IZA Discussion Papers 16137, IZA Network @ LISER.
    3. Germ'an Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," Papers 2301.02575, arXiv.org.
    4. Caplin, Andrew & Martin, Daniel & Marx, Philip, 2025. "Modeling machine learning: A cognitive economic approach," Journal of Economic Theory, Elsevier, vol. 224(C).
    5. Mike Hsu, 2024. "Umpire Home Bias in Major League Baseball," Journal of Sports Economics, , vol. 25(4), pages 423-442, May.
    6. Reio Tanji, 2022. "Pitch Call Discrimination in Major League Baseball: The Effect on the Observed Performance and the Salaries," Discussion Papers in Economics and Business 22-02, Osaka University, Graduate School of Economics.
    7. Mocan, Naci & Osborne-Christenson, Eric, 2022. "In-Group Favoritism and Peer Effects in Wrongful Acquittals: NBA Referees as Judges," IZA Discussion Papers 15195, IZA Network @ LISER.
    8. Germán Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," CRC TR 224 Discussion Paper Series crctr224_2023_490, University of Bonn and University of Mannheim, Germany.

    More about this item

    JEL classification:

    • 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

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