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How big is home advantage at the Olympic Games?

Author

Listed:
  • Carl Singleton

    (Department of Economics, University of Reading)

  • J. James Reade

    (Department of Economics, University of Reading)

  • Johan Rewilak

    (Department of Economics, Finance and Entrepreneurship, Aston University)

  • Dominik Schreyer

    (Wissenschaftliche Hochschule für Unternehmensführung (WHU))

Abstract

We revisit the magnitude of home advantage at the Summer and Winter Olympic Games, looking back all the way to Athens in 1896. By comparing a host country’s success with their performances in previous and subsequent games, we find that home advantage has declined over time as participation and the diversity of competition have increased. Hosts of the Summer Olympics between 1988 and 2016 enjoyed a two-percentage-point boost in their shares of medals and finalists, compared with their performances overseas, in both men's and women's events. In this same contemporary period, the home advantage effect at the Winter Olympics was around fifty percent larger in men's events but non-existent in women's events. We also find evidence of significant performance spill overs on the previous and next Olympiads for countries when they hosted the Summer Games.

Suggested Citation

  • Carl Singleton & J. James Reade & Johan Rewilak & Dominik Schreyer, 2021. "How big is home advantage at the Olympic Games?," Economics Discussion Papers em-dp2021-13, Department of Economics, University of Reading.
  • Handle: RePEc:rdg:emxxdp:em-dp2021-13
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    File URL: https://www.reading.ac.uk/web/files/economics/emdp202113.pdf
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    References listed on IDEAS

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    1. Stephen Morrow, 1999. "The New Business of Football," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-37174-3, December.
    2. 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.
    3. Robert Baade & Victor Matheson, 2004. "The Quest for the Cup: Assessing the Economic Impact of the World Cup," Regional Studies, Taylor & Francis Journals, vol. 38(4), pages 343-354.
    4. Tim Wallrafen & Tim Pawlowski & Christian Deutscher, 2019. "Substitution in Sports: The Case of Lower Division Football Attendance," Journal of Sports Economics, , vol. 20(3), pages 319-343, April.
    5. Marcus Noland & Kevin Stahler, 2017. "An Old Boys Club No More," Journal of Sports Economics, , vol. 18(5), pages 506-536, June.
    6. Kuper, Gerard & Sterken, Elmer, 2001. "Olympic participation and performance since 1896," CCSO Working Papers 200104, University of Groningen, CCSO Centre for Economic Research.
    7. Pettersson-Lidbom, Per & Priks, Mikael, 2010. "Behavior under social pressure: Empty Italian stadiums and referee bias," Economics Letters, Elsevier, vol. 108(2), pages 212-214, August.
    8. Leeds Eva Marikova & Leeds Michael A., 2012. "Gold, Silver, and Bronze: Determining National Success in Men’s and Women’s Summer Olympic Events," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 279-292, June.
    9. Hon‐Kwong Lui & Wing Suen, 2008. "Men, Money, And Medals: An Econometric Analysis Of The Olympic Games," Pacific Economic Review, Wiley Blackwell, vol. 13(1), pages 1-16, February.
    10. Delbianco Fernando & Fioravanti Federico & Tohmé Fernando, 2023. "Home advantage and crowd attendance: evidence from rugby during the Covid 19 pandemic," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(1), pages 15-26, March.
    11. Bryson, Alex & Dolton, Peter & Reade, J. James & Schreyer, Dominik & Singleton, Carl, 2021. "Causal effects of an absent crowd on performances and refereeing decisions during Covid-19," Economics Letters, Elsevier, vol. 198(C).
    12. 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.
    13. Johan Rewilak, 2021. "The (non) determinants of Olympic success," Journal of Sports Economics, , vol. 22(5), pages 546-570, June.
    14. Fischer, Kai & Haucap, Justus, 2020. "Does crowd support drive the home advantage in professional soccer? Evidence from German ghost games during the COVID-19 pandemic," DICE Discussion Papers 344, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    15. Baumann Robert & Engelhardt Bryan & Matheson Victor A., 2012. "Employment Effects of the 2002 Winter Olympics in Salt Lake City, Utah," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 308-317, June.
    16. Christian Gjersing Nielsen & Rasmus K. Storm & Tor Georg Jakobsen, 2019. "The impact of English Premier League broadcasts on Danish spectator demand: a small league perspective," Journal of Business Economics, Springer, vol. 89(6), pages 633-653, August.
    17. Stephen Morrow, 1999. "Rich Man, Poor Man — Players in the New Business of Football," Palgrave Macmillan Books, in: The New Business of Football, chapter 2, pages 30-57, Palgrave Macmillan.
    18. Alexander John Bond & Francesco Addesa, 2020. "Competitive Intensity, Fans’ Expectations, and Match-Day Tickets Sold in the Italian Football Serie A, 2012-2015," Journal of Sports Economics, , vol. 21(1), pages 20-43, January.
    19. Swantje Allmers & Wolfgang Maennig, 2009. "Economic impacts of the FIFA Soccer World Cups in France 1998, Germany 2006, and outlook for South Africa 2010," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 35(4), pages 500-519.
    20. Robert Hoffmann & Lee Chew Ging & Bala Ramasamy, 2002. "Public policy and olympic success," Applied Economics Letters, Taylor & Francis Journals, vol. 9(8), pages 545-548.
    21. Daniel K. N. Johnson & Ayfer Ali, 2004. "A Tale of Two Seasons: Participation and Medal Counts at the Summer and Winter Olympic Games," Social Science Quarterly, Southwestern Social Science Association, vol. 85(4), pages 974-993, December.
    22. Kai Fischer & Justus Haucap, 2021. "Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic," Journal of Sports Economics, , vol. 22(8), pages 982-1008, December.
    23. Nicolas Scelles & Wladimir Andreff & Liliane Bonnal & Madeleine Andreff & Pascal Favard, 2020. "Forecasting National Medal Totals at the Summer Olympic Games Reconsidered," Social Science Quarterly, Southwestern Social Science Association, vol. 101(2), pages 697-711, March.
    24. Forrest, David & Sanz, Ismael & Tena, J.D., 2010. "Forecasting national team medal totals at the Summer Olympic Games," International Journal of Forecasting, Elsevier, vol. 26(3), pages 576-588, July.
    25. Kavetsos, Georgios & Szymanski, Stefan, 2010. "National well-being and international sports events," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 158-171, April.
    26. Christoph Schlembach & Sascha L. Schmidt & Dominik Schreyer & Linus Wunderlich, 2020. "Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model," Papers 2012.04378, arXiv.org, revised Jun 2021.
    27. Ferraresi, Massimiliano & Gucciardi, Gianluca, 2021. "Who chokes on a penalty kick? Social environment and individual performance during Covid-19 times," Economics Letters, Elsevier, vol. 203(C).
    28. Bent Flyvbjerg & Alexander Budzier & Daniel Lunn, 2021. "Regression to the tail: Why the Olympics blow up," Environment and Planning A, , vol. 53(2), pages 233-260, March.
    29. Babatunde Buraimo & David Forrest & Robert Simmons, 2010. "The 12th man?: refereeing bias in English and German soccer," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 431-449, April.
    30. Li, ShiNa & Blake, Adam & Thomas, Rhodri, 2013. "Modelling the economic impact of sports events: The case of the Beijing Olympics," Economic Modelling, Elsevier, vol. 30(C), pages 235-244.
    31. Adam Cox, 2018. "Spectator Demand, Uncertainty of Results, and Public Interest," Journal of Sports Economics, , vol. 19(1), pages 3-30, January.
    32. Andrew B. Bernard & Meghan R. Busse, 2004. "Who Wins the Olympic Games: Economic Resources and Medal Totals," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 413-417, February.
    33. Thomas Peeters & Jan C. Ours, 2021. "Seasonal Home Advantage in English Professional Football; 1974–2018," De Economist, Springer, vol. 169(1), pages 107-126, February.
    34. repec:dgr:rugccs:200104 is not listed on IDEAS
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    2. 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.
    3. Schlembach, Christoph & Schmidt, Sascha L. & Schreyer, Dominik & Wunderlich, Linus, 2022. "Forecasting the Olympic medal distribution – A socioeconomic machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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    More about this item

    Keywords

    Attendance; Gender economics; Home bias; Major sport events; Olympic Games; Referee bias; Sports economics;
    All these keywords.

    JEL classification:

    • 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
    • Z2 - Other Special Topics - - Sports Economics

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