Review of Industrial Organization

, Volume 45, Issue 2, pp 177–200 | Cite as

The Relationship Between Outcome Uncertainties and Match Attendance: New Evidence in the National Basketball Association

  • Wen-Jhan JaneEmail author


This paper investigates the determinants of game-day attendance for the National Basketball Association for the 2009/2010–2011/2012 seasons. Six different measures of short-run league-level competitive balance and game uncertainty for two rivals are incorporated at the same time in a Tobit model. The results for the effect of league-level uncertainty support the hypotheses of outcome uncertainty, but the effect of game-level uncertainty does not. Closer wins by the competing teams within a league and a larger gap in terms of the point spread between two teams in the betting market lead to higher attendance.


Attendance in professional basketball Competitive balance  Game uncertainty Outcome uncertainty Tobit model 

JEL Classification

L13 L83 D43 


  1. Baimbridge, M., Cameron, S., & Dawson, P. (1996). Satellite television and the demand for football: A whole new ball game? Scottish Journal of Political Economy, 43(3), 317–333.CrossRefGoogle Scholar
  2. Benz, M.-A., Brandes, L., & Franck, E. (2006). Heterogeneity in fan demand—new results on uncertainty of outcome from quantile regression. In Institute for Strategy and Business Economics Working Paper 48.Google Scholar
  3. Benz, M.-A., Brandes, L., & Franck, E. (2009). Do Soccer associations really spend on a good thing? Empirical evidence on heterogeneity in the consumer response to match uncertainty of outcome. Contemporary Economic Policy, 27(2), 216–235.CrossRefGoogle Scholar
  4. Berri, D. J., Brook, S. L., Frick, B., Fenn, A. J., & Vicente-Mayoral, R. (2005). The short supply of tall people: Competitive imbalance and the National Basketball Association. Journal of Economic Issues, 39, 1029–1041.Google Scholar
  5. Berri, D. J., & Schmidt, M. B. (2006). On the road with the National Basketball Association’s superstar externality. Journal of Sports Economics, 7(4), 347–58.CrossRefGoogle Scholar
  6. Borland, J., & MacDonald, R. (2003). Demand for sport. Oxford Review of Economic Policy, 19(4), 478–502.CrossRefGoogle Scholar
  7. Buraimo, B., Forrest, D., & Simmons, R. (2006). Robust estimates of the impact of broadcasting on match attendance in football. In Lancaster University Management School Working Paper 004.Google Scholar
  8. Buraimo, B., & Simmons, R. (2009). A tale of two audiences: Spectators, television viewers and outcome uncertainty in Spanish football. Journal of Economics and Business, 61(4), 326–338.CrossRefGoogle Scholar
  9. Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics: Methods and applications. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  10. Coates, D., & Harrison, T. (2005). Baseball strikes and the demand for attendance. Journal of Sports Economics, 6(3), 282–302.CrossRefGoogle Scholar
  11. Coates, D., & Humphreys, B. R. (2005). Novelty effects of new facilities on attendance at professional sporting events. Contemporary Economic Policy, 23, 436–455.CrossRefGoogle Scholar
  12. Davidson, R., & MacKinnon, J. G. (2004). Econometric theory and methods. New York: Oxford University Press.Google Scholar
  13. Depken, C. A., & Wilson, D. P. (2006). The uncertainty of outcome hypothesis in division IA College Football. In Working paper.Google Scholar
  14. Forrest, D., & Simmons, R. (2002). Outcome uncertainty and attendance demand in sport: The case of english soccer. The Statistician, 51(2), 229–241.Google Scholar
  15. Forrest, D., & Simmons, R. (2006). New issues in attendance demand: The case of the English football league. Journal of Sports Economics, 7(3), 247–266.CrossRefGoogle Scholar
  16. Forrest, D., Simmons, R., & Buraimo, B. (2005). Outcome uncertainty and the couch potato audience. Scottish Journal of Political Economy, 52, 641–61.CrossRefGoogle Scholar
  17. Fort, R. (2003). Sports economics. Upper Saddle River, NJ: Prentice Hall.Google Scholar
  18. Fort, R. (2006). Competitive balance in North American sports. In J. Fizel (Ed.), Handbook of sports economics research (pp. 190–208). Armonk, NY: M.E. Sharpe.Google Scholar
  19. Garcia, J., & Rodriguez, P. (2002). The determinants of football match attendance revisited: Empirical evidence from the Spanish football league. Journal of Sports Economics, 3(1), 18–38.CrossRefGoogle Scholar
  20. Holmes, P. M. (2010). Three essays on the economics of sport (Doctoral dissertation, University of Illinois at Urbana-Champaign).Google Scholar
  21. Humphreys, B. (2002). Alternative measures of competitive balance in sporting leagues. Journal of Sports Economics, 3(2), 133–148.CrossRefGoogle Scholar
  22. Michie, J., & Oughton, C. (2004). Competitive balance in football: Trends and effects. In Research paper 2004, no. 2, in Football Governance Research Centre.Google Scholar
  23. Moeltner, K., & Layton, D. (2002). A censored random coefficients model for pooled survey data with application to the estimation of power outage costs. Review of Economics and Statistics, 84, 552–561.CrossRefGoogle Scholar
  24. Neale, W. C. (1964). The peculiar economics of professional sports. The Quarterly Journal of Economics, 78(1), 1–14.CrossRefGoogle Scholar
  25. Paul, R. J., & Weinbach, A. P. (2007). The uncertainty of outcome and scoring effects on Nielsen ratings for monday night football. Journal of Economics and Business, 59, 199–211.CrossRefGoogle Scholar
  26. Peel, D. A., & Thomas, D. A. (1988). Outcome uncertainty and the demand for football: An analysis of match attendances in the English football league. Scottish Journal of Political Economy, 35, 242–249.CrossRefGoogle Scholar
  27. Quirk, J., & Fort, R. (1992). Pay dirt: The business of professional team sports. Princeton, NJ: Princeton University Press.Google Scholar
  28. Rascher, D. (1999). A test of the optimal positive production network externality in major league baseball. In E. Gustafson & L. Hadley (Eds.), Sports economics: Current research. Westport, CT: Praeger Press.Google Scholar
  29. Rottenberg, S. (1956). The baseball players’ labor market. Journal of Political Economy, 64, 242–258.CrossRefGoogle Scholar
  30. Sanderson, A. R., & Siegfried, J. J. (2003). Thinking about competitive balance. Journal of Sports Economics, 4(4), 255–279.CrossRefGoogle Scholar
  31. Schmidt, M., & Berri, D. (2001). Competitive balance and attendance: The case of major league baseball. Journal of Sports Economics, 2(2), 145–167.CrossRefGoogle Scholar
  32. Scully, G. (1989). The business of major league baseball. Chicago: University of Chicago Press.Google Scholar
  33. Szymanski, S. (2003). The economic design of sporting contests. Journal of Economic Literature, 41, 1137–1187.CrossRefGoogle Scholar
  34. Szymanski, S., & Késenne, S. (2004). Competitive balance and gate revenue sharing in team sports. The Journal of Industrial Economics, 52(1), 165–177.CrossRefGoogle Scholar
  35. Tainsky, S., Xu, J., & Zhou, Y. (2014). Qualifying the game uncertainty effect: A game-level analysis of NFL postseason broadcast ratings. Journal of Sports Economics, 15(3), 219–236.CrossRefGoogle Scholar
  36. Tainsky, S., & Winfree, J. A. (2010). Short-run demand and uncertainty of outcome in major league baseball. Review of Industrial Organization, 37(3), 197–214.CrossRefGoogle Scholar
  37. Train, K. (2003). Discrete choice models using simulation. Cambridge: Cambridge University.CrossRefGoogle Scholar
  38. Zimbalist, A. S. (2002). Competitive balance in sports leagues: An introduction. Journal of Sports Economics, 3(2), 111–121.CrossRefGoogle Scholar
  39. Zimbalist, A. S. (2003). Competitive balance conundrums: Response to fort and Maxcy’s comments. Journal of Sports Economics, 4, 161–163.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of EconomicsShih Hsin UniversityTaipeiTaiwan

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