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Cognitive Performance in Remote Work: Evidence from Professional Chess

Author

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  • Steffen Künn
  • Christian Seel
  • Dainis Zegners

Abstract

During the COVID-19 pandemic, traditional (offline) chess tournaments were prohibited and instead held online. We exploit this unique setting to assess the impact of remote work policies on the cognitive performance of individuals. Using the artificial intelligence embodied in a powerful chess engine to assess the quality of chess moves and associated errors, we find a statistically and economically significant decrease in performance when an individual competes remotely versus offline in a face-to-face setting. The effect size decreases over time, suggesting an adaptation to the new remote setting.

Suggested Citation

  • Steffen Künn & Christian Seel & Dainis Zegners, 2022. "Cognitive Performance in Remote Work: Evidence from Professional Chess," The Economic Journal, Royal Economic Society, vol. 132(643), pages 1218-1232.
    • Handle: RePEc:oup:econjl:v:132:y:2022:i:643:p:1218-1232.
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    File URL: http://hdl.handle.net/10.1093/ej/ueab094
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    Cited by:

    1. Fischer, Kai & Reade, J. James & Schmal, W. Benedikt, 2022. "What cannot be cured must be endured: The long-lasting effect of a COVID-19 infection on workplace productivity," Labour Economics, Elsevier, vol. 79(C).
    2. Piotr Lewandowski & Katarzyna Lipowska & Mateusz Smoter, 2022. "Mismatch in preferences for working from home – evidence from discrete choice experiments with workers and employers," IBS Working Papers 05/2022, Instytut Badan Strukturalnych.
    3. Mehmet S. Ismail, 2023. "Human and Machine Intelligence in n-Person Games with Partial Knowledge: Theory and Computation," Papers 2302.13937, arXiv.org, revised Feb 2024.

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