IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v309y2023i1p359-370.html
   My bibliography  Save this article

Fewer teams, more games, larger attendance? Evidence from the structural change in basketball's EuroLeague

Author

Listed:
  • Di Mattia, Alessandro
  • Krumer, Alex

Abstract

This study investigated whether an increased number of games between a reduced number of high-quality teams has a positive effect on stadium attendance. We did this by taking advantage of a recent structural change that occurred in basketball's EuroLeague tournament. Starting from the 2016/17 season, the two short round-robin tournaments (regular season and Top 16) among 24 teams merged into a longer round-robin tournament among 16 teams. In the new structure, the number of each team's games per season increased by more than 25 percent, which increased the aggregate attendance. In our empirical analyses, we investigated attendance per game by using data from the three seasons before and after the change. Comparing the attendance of the same teams that played before and after the change, our fixed effects estimation reveals a significant decrease of close to nine percent in attendance per game after the change compared to the Top 16 stage. We also found no significant difference in attendance after the change compared to the regular season before the change. Finally, we found that the main decrease in attendance after the change appears in the first half of the season, when the games are likely to be perceived as less decisive than in the second half of the season.

Suggested Citation

  • Di Mattia, Alessandro & Krumer, Alex, 2023. "Fewer teams, more games, larger attendance? Evidence from the structural change in basketball's EuroLeague," European Journal of Operational Research, Elsevier, vol. 309(1), pages 359-370.
    • Handle: RePEc:eee:ejores:v:309:y:2023:i:1:p:359-370
    DOI: 10.1016/j.ejor.2023.01.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221723000024
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2023.01.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Di Domizio Marco & Caruso Raul, 2015. "Hooliganism and Demand for Football in Italy: Attendance and Counterviolence Policy Evaluation," German Economic Review, De Gruyter, vol. 16(2), pages 123-137, May.
    3. Babatunde Buraimo, 2008. "Stadium attendance and television audience demand in English league football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(6), pages 513-523.
    4. Tim Wallrafen & Georgios Nalbantis & Tim Pawlowski, 2022. "Competition and Fan Substitution Between Professional Sports Leagues," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(1), pages 21-43, August.
    5. Alex Krumer & Reut Megidish & Aner Sela, 2020. "The optimal design of round-robin tournaments with three players," Journal of Scheduling, Springer, vol. 23(3), pages 379-396, June.
    6. Buraimo, Babatunde & Simmons, Rob, 2009. "A tale of two audiences: Spectators, television viewers and outcome uncertainty in Spanish football," Journal of Economics and Business, Elsevier, vol. 61(4), pages 326-338, July.
    7. Dries Goossens & Frits Spieksma, 2009. "Scheduling the Belgian Soccer League," Interfaces, INFORMS, vol. 39(2), pages 109-118, April.
    8. William Greene, 2004. "Fixed Effects and Bias Due to the Incidental Parameters Problem in the Tobit Model," Econometric Reviews, Taylor & Francis Journals, vol. 23(2), pages 125-147.
    9. David Forrest & Rob Simmons & Stefan Szymanski, 2010. "Broadcasting, Attendance and the Inefficiency of Cartels," Palgrave Macmillan Books, in: Football Economics and Policy, chapter 5, pages 112-135, Palgrave Macmillan.
    10. Durán, Guillermo & Guajardo, Mario & Sauré, Denis, 2017. "Scheduling the South American Qualifiers to the 2018 FIFA World Cup by integer programming," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1109-1115.
    11. Babatunde Buraimo & Rob Simmons, 2015. "Uncertainty of Outcome or Star Quality? Television Audience Demand for English Premier League Football," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 22(3), pages 449-469, November.
    12. B Buraimo & D Forrest & R Simmons, 2009. "Insights for clubs from modelling match attendance in football," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(2), pages 147-155, February.
    13. Baimbridge, Mark & Cameron, Samuel & Dawson, Peter, 1996. "Satellite Television and the Demand for Football: A Whole New Ball Game?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 43(3), pages 317-333, August.
    14. Tim Pawlowski & Georgios Nalbantis, 2015. "Competition format, championship uncertainty and stadium attendance in European football - a small league perspective," Applied Economics, Taylor & Francis Journals, vol. 47(38), pages 4128-4139, August.
    15. Alex Krumer & Michael Lechner, 2018. "Midweek Effect On Soccer Performance: Evidence From The German Bundesliga," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 193-207, January.
    16. Buraimo, Babatunde & Forrest, David & McHale, Ian G. & Tena, J.D., 2022. "Armchair fans: Modelling audience size for televised football matches," European Journal of Operational Research, Elsevier, vol. 298(2), pages 644-655.
    17. Mark Baimbridge & Samuel Cameron & Peter Dawson, 1995. "Satellite broadcasting and match attendance: the case of rugby league," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 343-346.
    18. Besters, Lucas M. & van Ours, Jan C. & van Tuijl, Martin A., 2019. "How outcome uncertainty, loss aversion and team quality affect stadium attendance in Dutch professional football," Journal of Economic Psychology, Elsevier, vol. 72(C), pages 117-127.
    19. Ribeiro, Celso C. & Urrutia, Sebastian, 2007. "Heuristics for the mirrored traveling tournament problem," European Journal of Operational Research, Elsevier, vol. 179(3), pages 775-787, June.
    20. Rasmussen, Rasmus V. & Trick, Michael A., 2008. "Round robin scheduling - a survey," European Journal of Operational Research, Elsevier, vol. 188(3), pages 617-636, August.
    21. Anthony C. Krautmann & David J. Berri, 2007. "Can We Find It at the Concessions? Understanding Price Elasticity in Professional Sports," Journal of Sports Economics, , vol. 8(2), pages 183-191, May.
    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.
    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. Guajardo, Mario & Krumer, Alex, 2023. "Format and schedule proposals for a FIFA World Cup with 12 four-team groups," Discussion Papers 2023/2, Norwegian School of Economics, Department of Business and Management Science.

    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. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    2. Georgios Nalbantis & Tim Pawlowski & Dominik Schreyer, 2023. "Substitution Effects and the Transnational Demand for European Soccer Telecasts," Journal of Sports Economics, , vol. 24(4), pages 407-442, May.
    3. 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.
    4. Raul Caruso & Francesco Addesa & Marco Di Domizio, 2019. "The Determinants of the TV Demand for Soccer: Empirical Evidence on Italian Serie A for the Period 2008-2015," Journal of Sports Economics, , vol. 20(1), pages 25-49, January.
    5. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2018. "Game Outcome Uncertainty and Television Audience Demand: New Evidence from German Football," German Economic Review, Verein für Socialpolitik, vol. 19(2), pages 140-161, May.
    6. 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.
    7. 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.
    8. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2019. "Football Spectator No-Show Behavior," Journal of Sports Economics, , vol. 20(4), pages 580-602, May.
    9. 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.
    10. Tim Wallrafen & Georgios Nalbantis & Tim Pawlowski, 2022. "Competition and Fan Substitution Between Professional Sports Leagues," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 61(1), pages 21-43, August.
    11. Goller, Daniel & Krumer, Alex, 2019. "Let’s meet as usual: Do games on non-frequent days differ? Evidence from top European soccer leagues," Economics Working Paper Series 1907, University of St. Gallen, School of Economics and Political Science.
    12. Catherine C. Gropper & Benjamin C. Anderson, 2018. "Sellout, Blackout, or Get Out," Journal of Sports Economics, , vol. 19(4), pages 522-561, May.
    13. Isabel Artero & Eduardo Bandrés, 2018. "The Broadcasting Demand for the Spanish National Soccer Team," Journal of Sports Economics, , vol. 19(7), pages 934-959, October.
    14. Guillermo Durán, 2021. "Sports scheduling and other topics in sports analytics: a survey with special reference to Latin America," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 125-155, April.
    15. Selçuk Özaydın, 2018. "Modelling the European Football Demand for the 2014/2015 Season," Yildiz Social Science Review, Yildiz Technical University, vol. 4(1), pages 39-52.
    16. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2017. "Game Outcome Uncertainty and the Demand for International Football Games: Evidence From the German TV Market," Journal of Media Economics, Taylor & Francis Journals, vol. 30(1), pages 31-45, January.
    17. Trung Minh Dang & Ross Booth & Robert Brooks & Adi Schnytzer, 2015. "Do TV Viewers Value Uncertainty of Outcome? Evidence from the Australian Football League," The Economic Record, The Economic Society of Australia, vol. 91(295), pages 523-535, December.
    18. Besters, Lucas, 2018. "Economics of professional football," Other publications TiSEM d9e6b9b7-a17b-4665-9cca-1, Tilburg University, School of Economics and Management.
    19. Kevin Mongeon & Jason Winfree, 2012. "Comparison of television and gate demand in the National Basketball Association," Sport Management Review, Taylor & Francis Journals, vol. 15(1), pages 72-79, January.
    20. Luc Arrondel & Richard Duhautois, 2019. "Are French Football Fans Sensitive to Outcome Uncertainty?," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 513, pages 5-26.

    More about this item

    Keywords

    OR in sports; Round-robin; Attendance demand; Basketball; Time allocation;
    All these keywords.

    JEL classification:

    • D00 - Microeconomics - - General - - - General
    • L00 - Industrial Organization - - General - - - General
    • D20 - Microeconomics - - Production and Organizations - - - General
    • Z20 - Other Special Topics - - Sports Economics - - - General

    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:eee:ejores:v:309:y:2023:i:1:p:359-370. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.