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Stadium attendance demand during the COVID-19 crisis: Early empirical evidence from Belarus

Author

Listed:
  • J. James Reade

    (Department of Economics, University of Reading)

  • Dominik Schreyer

    (Wissenschaftliche Hochschule für Unternehmensführung (WHU))

  • Carl Singleton

    (Department of Economics, University of Reading)

Abstract

In this note, we consider early evidence regarding behavioural responses to an emerging public health emergency. We explore patterns in stadium attendance demand by exploiting match-level data from the Belarusian Premier League (BPL), a football competition that kept playing unrestricted in front of spectators throughout the global COVID-19 pandemic, unlike all other European professional sports leagues. We observe that stadium attendance demand in Belarus declined significantly in the initial period of maximum uncertainty. Surprisingly, demand then slowly recovered, despite the ongoing inherent risk to individuals from going to a match.

Suggested Citation

  • J. James Reade & Dominik Schreyer & Carl Singleton, 2020. "Stadium attendance demand during the COVID-19 crisis: Early empirical evidence from Belarus," Economics Discussion Papers em-dp2020-20, Department of Economics, University of Reading.
    • Handle: RePEc:rdg:emxxdp:em-dp2020-20
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    1. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2018. "Game Outcome Uncertainty in the English Premier League," Journal of Sports Economics, , vol. 19(5), pages 625-644, June.
    2. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    3. Schreyer, Dominik & Schmidt, Sascha L. & Torgler, Benno, 2016. "Against all odds? Exploring the role of game outcome uncertainty in season ticket holders’ stadium attendance demand," Journal of Economic Psychology, Elsevier, vol. 56(C), pages 192-217.
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    11. 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.
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    16. J. James Reade & Carl Singleton, 2020. "Demand for Public Events in the COVID-19 Pandemic: A Case Study of European Football," Economics Discussion Papers em-dp2020-09, Department of Economics, University of Reading, revised 01 Oct 2020.
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    Cited by:

    1. Beiderbeck, Daniel & Frevel, Nicolas & von der Gracht, Heiko A. & Schmidt, Sascha L. & Schweitzer, Vera M., 2021. "The impact of COVID-19 on the European football ecosystem – A Delphi-based scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    2. Mike Hsu, 2024. "Umpire Home Bias in Major League Baseball," Journal of Sports Economics, , vol. 25(4), pages 423-442, May.
    3. J. James Reade, 2023. "Large Sporting Events and Public Health and Safety," Economics Discussion Papers em-dp2023-04, Department of Economics, University of Reading.
    4. Alexander Ahammer & Martin Halla & Mario Lackner, 2023. "Mass gatherings contributed to early COVID‐19 mortality: Evidence from US sports," Contemporary Economic Policy, Western Economic Association International, vol. 41(3), pages 471-488, July.
    5. Ana Chersulich Tomino & Marko Periæ, 2022. "Sport-Tourism Running Events in the Post-COVID-19 World: Any Sign of Change?," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 15(1), pages 135-147.
    6. Carl Singleton & J. James Reade & Dominik Schreyer, 2023. "A decade of violence and empty stadiums in Egypt: when does emotion from the terraces affect behaviour on the pitch?," Empirical Economics, Springer, vol. 65(3), pages 1487-1507, September.
    7. Matthew Olczak & J. James Reade & Matthew Yeo, 2020. "Mass Outdoor Events and the Spread of a Virus: English Football and Covid-19," Economics Discussion Papers em-dp2020-19, Department of Economics, University of Reading.
    8. Carl Singleton & Alex Bryson & Peter Dolton & James Reade & Dominik Schreyer, 2022. "Economics lessons from sports during the COVID-19 pandemic," Chapters, in: Paul M. Pedersen (ed.), Research Handbook on Sport and COVID-19, chapter 2, pages 9-18, Edward Elgar Publishing.
    9. Alex Bryson & Peter Dolton & J. James Reade & Dominik Schreyer & Carl Singleton, 2021. "What we can learn about economics from professional sport during Covid-19," National Institute of Economic and Social Research (NIESR) Discussion Papers 525, National Institute of Economic and Social Research.
    10. 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.
    11. Michael Christian Leitner & Frank Daumann & Florian Follert & Fabio Richlan, 2023. "The cauldron has cooled down: a systematic literature review on home advantage in football during the COVID-19 pandemic from a socio-economic and psychological perspective," Management Review Quarterly, Springer, vol. 73(2), pages 605-633, June.
    12. Fischer Kai, 2022. "Thinning out spectators: Did football matches contribute to the second COVID-19 wave in Germany?," German Economic Review, De Gruyter, vol. 23(4), pages 595-640, December.
    13. Todd McFall & John Whitehead, 2024. "Measuring the Impact of the COVID-19 Pandemic on Elite Swimming Performance," Journal of Sports Economics, , vol. 25(5), pages 634-656, June.
    14. Vincenzo Alfano, 2022. "COVID-19 Diffusion Before Awareness: The Role of Football Match Attendance in Italy," Journal of Sports Economics, , vol. 23(5), pages 503-523, June.
    15. Hiroaki Funahashi & Shintaro Sato & Takuya Furukawa, 2022. "COVID-19 and Attendance Demand for Professional Sport in Japan: A Multilevel Analysis of Repeated Cross-Sectional National Data during the Pandemic," IJERPH, MDPI, vol. 19(9), pages 1-10, April.

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    More about this item

    Keywords

    Attendance; COVID-19; Football/soccer; Spectator decision-making; public health;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z20 - Other Special Topics - - Sports Economics - - - General

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