IDEAS home Printed from https://ideas.repec.org/p/iek/wpaper/1901.html
   My bibliography  Save this paper

Home Advantage in Skeleton: Familiarity versus Crowd Support

Author

Listed:
  • Seungwhan Chun

    (Department of Economics, Korea University, Seoul, Republic of Korea)

  • Sang Soo Park

    (Department of Economics, Korea University, Seoul, Republic of Korea)

Abstract

This paper investigates the existence of home advantage in the individual winter sport skeleton and identifies two sources of advantage: support from the crowd and familiarity with the track. In the Olympics and the World Championships, home advantage leads to about a 0.854% improvement in performance on average, of which 0.444%-points are due to crowd support and 0.410-points are due to familiarity. In the the development circuits (the Intercontinental Cup, North American Cup, and European Cup), the crowd effect is not as signifcant and the effect of familiarity is more dominant. Another interesting nding is that speeds in the Olympics are faster than in the World Championships on average, which may represent the motivational effect of the Olympics, although we were not able to control for the quality of the tracks.

Suggested Citation

  • Seungwhan Chun & Sang Soo Park, 2019. "Home Advantage in Skeleton: Familiarity versus Crowd Support," Discussion Paper Series 1901, Institute of Economic Research, Korea University.
  • Handle: RePEc:iek:wpaper:1901
    as

    Download full text from publisher

    File URL: http://econ.korea.ac.kr/~ri/WorkingPapers/w1901.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alex Krumer, 2017. "On Winning Probabilities, Weight Categories, and Home Advantage in Professional Judo," Journal of Sports Economics, , vol. 18(1), pages 77-96, January.
    2. Oberhofer, Harald & Philippovich, Tassilo & Winner, Hannes, 2010. "Distance matters in away games: Evidence from the German football league," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 200-211, April.
    3. 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.
    4. Dawson, Peter & Dobson, Stephen, 2010. "The influence of social pressure and nationality on individual decisions: Evidence from the behaviour of referees," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 181-191, April.
    5. Michela Ponzo & Vincenzo Scoppa, 2018. "Does the Home Advantage Depend on Crowd Support? Evidence From Same-Stadium Derbies," Journal of Sports Economics, , vol. 19(4), pages 562-582, May.
    6. Lee Rooney & Rodney Kennedy, 2018. "Home advantage in Gaelic football: the effect of divisional status, season and team ability," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 18(6), pages 917-925, November.
    7. Peter Dawson & Stephen Dobson & John Goddard & John Wilson, 2007. "Are football referees really biased and inconsistent?: evidence on the incidence of disciplinary sanction in the English Premier League," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 231-250, January.
    8. Christopher J. Boudreaux & Shane D. Sanders & Bhavneet Walia, 2017. "A Natural Experiment to Determine the Crowd Effect Upon Home Court Advantage," Journal of Sports Economics, , vol. 18(7), pages 737-749, October.
    9. Andrew W. Nutting, 2010. "Travel Costs in the NBA Production Function," Journal of Sports Economics, , vol. 11(5), pages 533-548, October.
    10. Vincenzo Scoppa, 2015. "Fatigue and Team Performance in Soccer," Journal of Sports Economics, , vol. 16(5), pages 482-507, June.
    11. Mark W. Nichols, 2014. "The Impact of Visiting Team Travel on Game Outcome and Biases in NFL Betting Markets," Journal of Sports Economics, , vol. 15(1), pages 78-96, February.
    12. Scoppa, Vincenzo, 2013. "Fatigue and Team Performance in Soccer: Evidence from the FIFA World Cup and the UEFA European Championship," IZA Discussion Papers 7519, Institute of Labor Economics (IZA).
    13. Benjamin Leard & Joanne M. Doyle, 2011. "The Effect of Home Advantage, Momentum, and Fighting on Winning in the National Hockey League," Journal of Sports Economics, , vol. 12(5), pages 538-560, October.
    14. Thomas J. Dohmen, 2008. "The Influence Of Social Forces: Evidence From The Behavior Of Football Referees," Economic Inquiry, Western Economic Association International, vol. 46(3), pages 411-424, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ferraresi Massimiliano & Gucciardi Gianluca, 2023. "Team performance and the perception of being observed: Experimental evidence from top-level professional football," German Economic Review, De Gruyter, vol. 24(1), pages 1-31, February.
    2. 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.
    3. Massimiliano Ferraresi & Gianluca Gucciardi, 2020. "Team performance and audience: experimental evidence from the football sector," Working papers 94, Società Italiana di Economia Pubblica.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Scoppa, Vincenzo, 2021. "Social pressure in the stadiums: Do agents change behavior without crowd support?," Journal of Economic Psychology, Elsevier, vol. 82(C).
    2. Michela Ponzo & Vincenzo Scoppa, 2018. "Does the Home Advantage Depend on Crowd Support? Evidence From Same-Stadium Derbies," Journal of Sports Economics, , vol. 19(4), pages 562-582, May.
    3. Carlos Alberto Belchior, 2020. "Fans and Match Results: Evidence From a Natural Experiment in Brazil," Journal of Sports Economics, , vol. 21(7), pages 663-687, October.
    4. 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.
    5. 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.
    6. 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.
    7. Thomas Dohmen & Jan Sauermann, 2016. "Referee Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 30(4), pages 679-695, September.
    8. Stijn Baert & Simon Amez, 2018. "No better moment to score a goal than just before half time? A soccer myth statistically tested," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
    9. Stefano Cabras & Marco Delogu & J.D. Tena, 2023. "Forced to play too many matches? A deep-learning assessment of crowded schedule," Applied Economics, Taylor & Francis Journals, vol. 55(52), pages 6187-6204, November.
    10. Kai Fischer & Justus Haucap, 2020. "Does Crowd Support Drive the Home Advantage in Professional Soccer? Evidence from German Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8549, CESifo.
    11. Karol Kempa & Hannes Rusch, 2019. "Dissent, sabotage, and leader behaviour in contests: Evidence from European football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(5), pages 500-514, July.
    12. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.
    13. 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).
    14. 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.
    15. Krumer, Alex & Lechner, Michael, 2016. "First In First Win: Evidence on Unfairness of Round-Robin Tournaments in Mega-Events," Economics Working Paper Series 1611, University of St. Gallen, School of Economics and Political Science.
    16. 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.
    17. 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.
    18. 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).
    19. Vladimir Hlasny & Sascha Kolaric, 2017. "Catch Me If You Can," Journal of Sports Economics, , vol. 18(6), pages 560-591, August.
    20. 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.

    More about this item

    Keywords

    Home advantage; familiarity; crowd support; skeleton; sledding sports; fixed effects;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iek:wpaper:1901. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kim, Jisoo (email available below). General contact details of provider: https://edirc.repec.org/data/ierkukr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.