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Effects of the video assistant referee on games in the Bundesliga

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  • Böttger, Tom
  • Vischer, Lars

Abstract

Referees and their assistants are faced with the challenge of making correct decisions in complex and high-speed game situations. Subconscious bias on the part of referees and the resulting systematic favouring of teams have already been shown many times in sports economics and impair fairness in football. Since the 2017/2018 season, the video assistant referee (VAR) has been used as a technical support for referees to correct clearly incorrect decisions. Based on 2,448 games and 1,880 match situations reviewed by the VAR from the 2019/2020 to 2022/2023 seasons, this study examines whether the VAR is a suitable instrument to counteract the bias of referees on the field. The analyses carried out reveal that the VAR is only able to accomplish this to a limited extent. Even with technical support, human bias remains in the decision-making process.

Suggested Citation

  • Böttger, Tom & Vischer, Lars, 2024. "Effects of the video assistant referee on games in the Bundesliga," Discussion Papers of the Institute for Organisational Economics 4/2024, University of Münster, Institute for Organisational Economics.
  • Handle: RePEc:zbw:umiodp:294851
    DOI: 10.17879/46988527856
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    References listed on IDEAS

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    1. Sutter, Matthias & Kocher, Martin G., 2004. "Favoritism of agents - The case of referees' home bias," Journal of Economic Psychology, Elsevier, vol. 25(4), pages 461-469, August.
    2. Starke, Stephan & Vischer, Lars & Dilger, Alexander, 2022. "Change in home bias due to ghost games in the NFL," Discussion Papers of the Institute for Organisational Economics 6/2022, University of Münster, Institute for Organisational Economics.
    3. Ulrike Holder & Thomas Ehrmann & Arne König, 2022. "Monitoring experts: insights from the introduction of video assistant referee (VAR) in elite football," Journal of Business Economics, Springer, vol. 92(2), pages 285-308, February.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Luis Garicano & Ignacio Palacios-Huerta & Canice Prendergast, 2005. "Favoritism Under Social Pressure," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 208-216, May.
    6. Lago-Peñas Carlos & Rey Ezequiel & Kalén Anton, 2019. "How does Video Assistant Referee (VAR) modify the game in elite soccer?," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(4), pages 646-653, July.
    7. Jon Welty Peachey & Jennifer Bruening, 2011. "An examination of environmental forces driving change and stakeholder responses in a Football Championship Subdivision athletic department," Sport Management Review, Taylor & Francis Journals, vol. 14(2), pages 202-219, April.
    8. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    9. John Charles Bradbury, 2019. "Determinants Of Revenue In Sports Leagues: An Empirical Assessment," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 121-140, January.
    10. Ashley Thompson & Milena M. Parent, 2021. "Understanding the impact of radical change on the effectiveness of national-level sport organizations: A multi-stakeholder perspective," Sport Management Review, Taylor & Francis Journals, vol. 24(1), pages 1-23, January.
    11. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    12. Page, Katie & Page, Lionel, 2010. "Alone against the crowd: Individual differences in referees' ability to cope under pressure," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 192-199, April.
    13. Ben-Naim Eli & Vazquez Federico & Redner Sidney, 2006. "Parity and Predictability of Competitions," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 2(4), pages 1-14, October.
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    More about this item

    Keywords

    Bias; Decision; Football; Rule; VAR;
    All these keywords.

    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
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z20 - Other Special Topics - - Sports Economics - - - General
    • Z21 - Other Special Topics - - Sports Economics - - - Industry Studies

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