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They are not all the same: Determinants of attendance across different sectors in a stadium

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  • Angel Barajas
  • Thadeu Gasparetto

Abstract

Previous research inspecting the demand for tickets for professional sports has mostly used aggregate data in their estimations. In a nutshell, it implies that all fans would be driven by the same determinants. In this research, we test whether this hypothesis holds. We analyse all first-tier Brazilian League home matches of both Flamengo and Fluminense at the iconic stadium Maracanã (Brazil) from 2014 to 2019. Ordinary Least Square regressions model individual equations for each sector for comparing their determinants. Our empirical results offer evidence that ticket price and Uncertainty of Outcome have different impact on demand for tickets according to the sector. Further research is encouraged to inspect whether similar behavior is detected in other settings.

Suggested Citation

  • Angel Barajas & Thadeu Gasparetto, 2023. "They are not all the same: Determinants of attendance across different sectors in a stadium," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-11, July.
    • Handle: RePEc:plo:pone00:0289331
    DOI: 10.1371/journal.pone.0289331
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    References listed on IDEAS

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    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. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2019. "Football Spectator No-Show Behavior," Journal of Sports Economics, , vol. 20(4), pages 580-602, May.
    3. 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.
    4. Dominik Schreyer & Benno Torgler, 2021. "Predicting season ticket holder no-show behaviour: more nuanced evidence from Switzerland," Applied Economics, Taylor & Francis Journals, vol. 53(48), pages 5549-5566, October.
    5. 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.
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