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The Dynamics of Inattention in the (Baseball) Field

Author

Listed:
  • James E. Archsmith
  • Anthony Heyes
  • Matthew J. Neidell
  • Bhaven N. Sampat

Abstract

Recent theoretical and empirical work characterizes attention as a limited resource that decision-makers strategically allocate. 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 not only 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 having a depletable ‘budget’ of attention. There is no such dynamic interdependence after breaks during the game (at the end of each inning) suggesting that even short rest periods can replenish attention budgets. We also find that an expectation of higher stakes future decisions leads to reduced attention to current decisions, consistent with forward-looking behavior by umpires aware of attention scarcity.

Suggested Citation

  • James E. Archsmith & Anthony Heyes & Matthew J. Neidell & Bhaven N. Sampat, 2021. "The Dynamics of Inattention in the (Baseball) Field," NBER Working Papers 28922, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28922
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    Cited by:

    1. Koch, Alexander K. & Monster, Dan & Nafziger, Julia, 2023. "Nudging in Complex Environments," IZA Discussion Papers 16137, Institute of Labor Economics (IZA).
    2. Mike Hsu, 2024. "Umpire Home Bias in Major League Baseball," Journal of Sports Economics, , vol. 25(4), pages 423-442, May.
    3. 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.
    4. Germ'an Reyes, 2023. "Cognitive Endurance, Talent Selection, and the Labor Market Returns to Human Capital," Papers 2301.02575, arXiv.org.
    5. Caplin, Andrew & Martin, Daniel & Marx, Philip, 2025. "Modeling machine learning: A cognitive economic approach," Journal of Economic Theory, Elsevier, vol. 224(C).
    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.

    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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