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Alone against the crowd: Individual differences in referees' ability to cope under pressure

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  • Page, Katie
  • Page, Lionel

Abstract

This paper contributes to the recent debate about the role of referees in the home advantage phenomenon. Specifically, it aims to provide a convincing answer to the newly posed question of the existence of individual differences among referees in terms of the home advantage ([Boyko et al., 2007] and [Johnston, 2008]). Using multilevel modelling on a large and representative dataset we find that (1) the home advantage effect differs significantly among referees, and (2) this relationship is moderated by the size of the crowd. These new results suggest that a part of the home advantage is due to the effect of the crowd on the referees, and that some referees are more prone to be influenced by the crowd than others. This provides strong evidence to indicate that referees are a significant contributing factor to the home advantage. The implications of these findings are discussed both in terms of the relevant social psychological research, and with respect to the selection, assessment, and training of referees.

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  • 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.
    • Handle: RePEc:eee:joepsy:v:31:y:2010:i:2:p:192-199
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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.
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    Cited by:

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    4. Peter Dawson, 2014. "Refereeing and infringement of the rules," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 24, pages 401-418, Edward Elgar Publishing.
    5. Andrea Albanese & Stijn Baert & Olivier Verstraeten, 2020. "Twelve eyes see more than eight. Referee bias and the introduction of additional assistant referees in soccer," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
    6. Federico Fioravanti & Fernando Delbianco & Fernando Tohm'e, 2021. "Home advantage and crowd attendance: Evidence from rugby during the Covid 19 pandemic," Papers 2105.01446, arXiv.org.
    7. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Echoes: what happens when football is played behind closed doors?," Economics Discussion Papers em-dp2020-14, Department of Economics, University of Reading.
    8. Andrés Picazo-Tadeo & Francisco Gónzalez-Gómez & Jorge Guardiola Wanden-Berghe, 2011. "Referee home bias due to social pressure. Evidence from Spanish football," Working Papers 1119, Department of Applied Economics II, Universidad de Valencia.
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    11. Andrés J. Picazo-Tadeo & Francisco González-Gómez & Jorge Guardiola, 2011. "The importance of time in referee home bias due to social pressure. Evidence from Spanish football," FEG Working Paper Series 03/11, Faculty of Economics and Business (University of Granada).
    12. Hlasny, V. & Kolaric, S., 2015. "Catch Me If You Can - Referee–Team Relationships and Disciplinary Cautions in Football," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74994, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    17. Franziska K. Kruse & Wolfgang Maennig, 2019. "Yellow Cards and Suspension by Choice: Determinants and Asymmetries," Working Papers 064, Chair for Economic Policy, University of Hamburg.
    18. J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Eliminating supportive crowds reduces referee bias," Economics Discussion Papers em-dp2020-25, Department of Economics, University of Reading.
    19. Vladimir Hlasny & Sascha Kolaric, 2017. "Catch Me If You Can," Journal of Sports Economics, , vol. 18(6), pages 560-591, August.
    20. Karl, Andrew T. & Yang, Yan & Lohr, Sharon L., 2014. "Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects," Computational Statistics & Data Analysis, Elsevier, vol. 73(C), pages 146-162.
    21. J. James Reade & Dominik Schreyer & Carl Singleton, 2022. "Eliminating supportive crowds reduces referee bias," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1416-1436, July.
    22. Goller, Daniel & Krumer, Alex, 2020. "Let's meet as usual: Do games played on non-frequent days differ? Evidence from top European soccer leagues," European Journal of Operational Research, Elsevier, vol. 286(2), pages 740-754.
    23. Karol Kempa & Hannes Rusch, 2016. "Misconduct and Leader Behaviour in Contests – New Evidence from European Football," MAGKS Papers on Economics 201629, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
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