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A Mere Fan Effect on Home-Court Advantage

Ganz, Scott C, Allsop, Kieran·2024·Journal of Sports Economics

Abstract

The existence of a home-court advantage is one of the most durable empirical patterns in all of sports. Yet, the mechanisms explaining its strength and persistence remain a mystery in large part because of well-known challenges with statistical identification. We use attendance restrictions in place during the 2020–2021 National Basketball Association regular season as an instrument in order to identify the effect of fans and crowd size on home-court advantage. We show that home teams win by [Formula: see text] points, on average, when fans are present at games compared with [Formula: see text] points when no fans are present. This equates to winning approximately 2.2 additional home games over the course of a regular season. In fixed effects instrumental variables regression models, we estimate that the marginal effect of an additional one thousand fans on home-court advantage is [Formula: see text] points. We conclude that the mere presence of home fans, on its own, explains a larger share of home-court advantage than previously thought.

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Research works printed but not linked: 22

  1. 10.3390/ijerph19010228 · DOI
  2. 10.1177/1527002520930812 · DOI
  3. 10.1016/j.econlet.2020.109664 · DOI
  4. Cross J., Uhrig R. (2022, March). Do Fans Impact Sports Outcomes? A COVID-19 Natural Experiment. Working paper . Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3705085. · DOI
  5. 10.1111/joes.12106 · DOI
  6. 10.1162/0034653053970267 · DOI
  7. 10.1177/15270025211073337 · DOI
  8. Grasso J., Sports Illustrated
  9. 10.1371/journal.pone.0256568 · DOI
  10. Hill Y., Frontiers in Psychology, 12
  11. 10.1111/j.1559-1816.2010.00641.x · DOI
  12. Letourneau C., San Francisco Chronicle
  13. 10.1080/1612197X.2003.9671718 · DOI
  14. 10.1038/s41598-020-78901-2 · DOI · Paper page
  15. Moore J. C., Journal of Sport Behavior, 16, 77
  16. 10.2165/00007256-199928040-00001 · DOI · Paper page
  17. Pace A., Canadian Journal of Sport Sciences—Journal Canadien Des Sciences Du Sport, 17, 60
  18. 10.1016/j.joep.2020.102344 · DOI
  19. 10.2202/1559-0410.1192 · DOI
  20. Sors F., European Journal of Sport Science, 21, 1
  21. 10.1123/jsep.32.4.483 · DOI
  22. Wunderlich F., PLOS ONE, 16(3), E0248590

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Metadata

Authors
Ganz, S. C., & Allsop, K.
Affiliations
  • Georgetown MSB and AEI, Washington, DC, USA
  • Johns Hopkins University, Baltimore, MD, USA
Venue
Journal of Sports Economics
Published
2023-09-12
Volume
25
Issue
1
Pages
30-53
ISSN
  • 1527-0025
  • 1552-7794
Cited by
8
References
0
Language
en
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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