IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v25y2018i4p272-277.html
   My bibliography  Save this article

Predicting season ticket holder loyalty using geographical information

Author

Listed:
  • Dominik Schreyer
  • Sascha L. Schmidt
  • Benno Torgler

Abstract

Season ticket holders (STHs) are an integral part of the sporting product. Interestingly, and contrary to the persistent interest in analysing the determinants of stadium attendances, sports economists have so far largely refrained from exploring the potential determinants of STH loyalty as expressed through regular stadium attendances. In this article, we address this notable shortcoming by exploring the potential determinants of STH stadium attendance demand. In particular, we examine the yet under-researched role of increasing opportunity costs resulting from larger home-stadium distances in STH stadium attendance demand. Our results suggest that STHs’ geographical location plays an important role in predicting STH stadium attendance demand. More specifically, we observe an unexpected, nonlinear distance–attendance relationship, indicating that behaviourally loyal STHs live either exceptionally close or far away from the stadium.

Suggested Citation

  • Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2018. "Predicting season ticket holder loyalty using geographical information," Applied Economics Letters, Taylor & Francis Journals, vol. 25(4), pages 272-277, February.
  • Handle: RePEc:taf:apeclt:v:25:y:2018:i:4:p:272-277
    DOI: 10.1080/13504851.2017.1316822
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2017.1316822
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2017.1316822?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. António Miguel Martins & Susana Cró, 2018. "The Demand for Football in Portugal," Journal of Sports Economics, , vol. 19(4), pages 473-497, May.
    2. Jean-Marc Falter & Christophe Perignon, 2000. "Demand for football and intramatch winning probability: an essay on the glorious uncertainty of sports," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1757-1765.
    3. N. Scelles & Christophe Durand & L. Bonnal & D. Goyeau & W. Andreff, 2013. "Competitive balance versus competitive intensity before a match: is one of these two concepts more relevant in explaining attendance? The case of the French football Ligue 1 over the period 2008–2011," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02111054, HAL.
    4. David Peel & Dennis Thomas, 1996. "Attendance demand: an investigation of repeat fixtures," Applied Economics Letters, Taylor & Francis Journals, vol. 3(6), pages 391-394.
    5. Nicolas Scelles & Christophe Durand & Liliane Bonnal & Daniel Goyeau & Wladimir Andreff, 2013. "Competitive balance versus competitive intensity before a match: Is one of these concepts more relevant in explaining attendance? The case of the French football Ligue 1 over the period 2008-2011," Post-Print halshs-00874478, HAL.
    6. N. Scelles & C. Durand & L. Bonnal & D. Goyeau & W. Andreff, 2013. "Competitive balance versus competitive intensity before a match: is one of these two concepts more relevant in explaining attendance? The case of the French football Ligue 1 over the period 2008--2011," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4184-4192, October.
    7. Peel, David A & Thomas, Dennis A, 1992. "The Demand for Football: Some Evidence on Outcome Uncertainty," Empirical Economics, Springer, vol. 17(2), pages 323-331.
    8. 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.
    9. William Putsis & Subrata Sen, 2000. "Should NFL blackouts be banned?," Applied Economics, Taylor & Francis Journals, vol. 32(12), pages 1495-1507.
    10. Jaume García & Plácido Rodríguez, 2002. "The Determinants of Football Match Attendance Revisited," Journal of Sports Economics, , vol. 3(1), pages 18-38, February.
    11. Grant Allan & Graeme Roy, 2008. "Does Television Crowd Out Spectators?," Journal of Sports Economics, , vol. 9(6), pages 592-605, December.
    12. Adam Cox, 2018. "Spectator Demand, Uncertainty of Results, and Public Interest," Journal of Sports Economics, , vol. 19(1), pages 3-30, January.
    13. Farai Jena & Barry Reilly, 2016. "Testing the uncertainty outcome hypothesis using data from second tier soccer in Ireland," Applied Economics Letters, Taylor & Francis Journals, vol. 23(18), pages 1257-1260, December.
    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. 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. Daniel Read & Aaron C.T. Smith & James Skinner, 2021. "A Comparative Analysis of Competitive Balance Between a Closed and an Open League in Rugby League," Journal of Sports Economics, , vol. 22(8), pages 871-892, December.
    3. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2019. "Football Spectator No-Show Behavior," Journal of Sports Economics, , vol. 20(4), pages 580-602, May.
    4. Dominik Schreyer & Daniel Däuper, 2018. "Determinants of spectator no-show behaviour: first empirical evidence from the German Bundesliga," Applied Economics Letters, Taylor & Francis Journals, vol. 25(21), pages 1475-1480, December.
    5. Dominik Schreyer & Benno Torgler, 2021. "Football spectator no-show behavior in Switzerland: Empirical evidence from season ticket holder behavior," CREMA Working Paper Series 2021-06, Center for Research in Economics, Management and the Arts (CREMA).

    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 & Sascha L. Schmidt & Benno Torgler, 2019. "Football Spectator No-Show Behavior," Journal of Sports Economics, , vol. 20(4), pages 580-602, May.
    2. 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.
    3. 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.
    4. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    5. Dominik Schreyer & Benno Torgler, 2018. "On the Role of Race Outcome Uncertainty in the TV Demand for Formula 1 Grands Prix," Journal of Sports Economics, , vol. 19(2), pages 211-229, February.
    6. 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.
    7. Besters, Lucas, 2018. "Economics of professional football," Other publications TiSEM d9e6b9b7-a17b-4665-9cca-1, Tilburg University, School of Economics and Management.
    8. 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.
    9. Schreyer & Torgler Benno & Schmidt Sascha L., 2018. "Game Outcome Uncertainty and Television Audience Demand: New Evidence from German Football," German Economic Review, De Gruyter, vol. 19(2), pages 140-161, May.
    10. Dominik Schreyer & Daniel Däuper, 2018. "Determinants of spectator no-show behaviour: first empirical evidence from the German Bundesliga," Applied Economics Letters, Taylor & Francis Journals, vol. 25(21), pages 1475-1480, December.
    11. Hojun Sung & Hyunwoong Pyun, 2023. "Disaggregated Attendance Demand: Comparing Daily Ticket Purchasers and Season Ticket Holders in K-League 1," Journal of Sports Economics, , vol. 24(6), pages 717-736, August.
    12. J. James Reade & Dominik Schreyer & Carl Singleton, 2021. "Stadium attendance demand during the COVID-19 crisis: early empirical evidence from Belarus," Applied Economics Letters, Taylor & Francis Journals, vol. 28(18), pages 1542-1547, October.
    13. 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.
    14. Valenti, Maurizio & Scelles, Nicolas & Morrow, Stephen, 2020. "The determinants of stadium attendance in elite women’s football: Evidence from the UEFA Women's Champions League," Sport Management Review, Elsevier, vol. 23(3), pages 509-520.
    15. Daniel Read & Aaron C.T. Smith & James Skinner, 2021. "A Comparative Analysis of Competitive Balance Between a Closed and an Open League in Rugby League," Journal of Sports Economics, , vol. 22(8), pages 871-892, December.
    16. Francesco Addesa & Alexander John Bond, 2021. "Determinants of stadium attendance in Italian Serie A: New evidence based on fan expectations," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-18, December.
    17. Marco Di Domizio & Raul Caruso, 2015. "Hooliganism and Demand for Football in Italy: Attendance and Counterviolence Policy Evaluation," German Economic Review, Verein für Socialpolitik, vol. 16(2), pages 123-137, May.
    18. 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.
    19. Jaume García & Plácido Rodríguez & Federico Todeschini, 2020. "The Demand for the Characteristics of Football Matches: A Hedonic Price Approach," Journal of Sports Economics, , vol. 21(7), pages 688-704, October.
    20. Jean-Pascal Guironnet, 2018. "Incertitude de classement final et affluence en Ligue 1 française de football : une nouvelle approche," Revue d'économie politique, Dalloz, vol. 128(4), pages 641-666.

    More about this item

    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:taf:apeclt:v:25:y:2018:i:4:p:272-277. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.