Determinants of spectator no-show behaviour: first empirical evidence from the German Bundesliga

References

• Benz, M.-A., L. Brandes, and E. Franck. 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: 216–235. doi:10.1111/coep.2009.27.issue-2.
   Web of Science ®Google Scholar
• Buraimo, B., and R. Simmons. 2015. “Uncertainty of Outcome or Star Quality? Television Audience Demand for English Premier League Football.” International Journal of the Economics of Business 22: 449–469. doi:10.1080/13571516.2015.1010282.
   Web of Science ®Google Scholar
• Cox, A. 2018. “Spectator Demand, Uncertainty of Results, and Public Interest: Evidence from the English Premier League.” Journal of Sports Economics 19: 3–30. doi:10.1177/1527002515619655.
   Web of Science ®Google Scholar
• Czarnitzki, D., and G. Stadtmann. 2002. “Uncertainty of Outcome versus Reputation: Empirical Evidence for the First German Football Division.” Empirical Economics 27: 101–112. doi:10.1007/s181-002-8361-7.
   Google Scholar
• Di Domizio, M. 2010. “Competitive Balance E Audience Televisva: Una Analisi Empirica Dalla Serie A Italiana.” Rivista Di Diritto Ed Economia Dello Sport 6: 27–57.
   Google Scholar
• Di Domizio, M., and R. Caruso. 2015. “Hooliganism and Demand for Football in Italy: Attendance and Counterviolence Policy Evaluation.” German Economic Review 16: 123–137. doi:10.1111/geer.2015.16.issue-2.
   Web of Science ®Google Scholar
• Dobson, S. M., and J. A. Goddard. 2011. The Economics of Football. 2nd ed. New York: Cambridge University Press.
   Google Scholar
• Elberse, A. 2015. Futbol Club Barcelona. Harvard Business School Case 516-031. Boston: Harvard Business School Press.
   Google Scholar
• Forrest, D., R. Simmons, and B. Buraimo. 2005. “Outcome Uncertainty and the Couch Potato Audience.” Scottish Journal of Political Economy 52: 641–661. doi:10.1111/sjpe.2005.52.issue-4.
   Web of Science ®Google Scholar
• Fort, R. 2005. “The Golden Anniversary of “The Baseball Players’ Labor Market”.” Journal of Sports Economics 6: 347–358. doi:10.1177/1527002505281226.
   Google Scholar
• Garcia, J., and P. Rodriguez. 2002. “The Determinants of Football Match Attendance Revisited: Empirical Evidence from the Spanish Football League.” Journal of Sports Economics 3: 18–38.
   Google Scholar
• Jena, F., and B. Reilly. 2016. “Testing the Uncertainty Outcome Hypothesis Using Data from Second Tier Soccer in Ireland.” Applied Economics Letters 23: 1257–1260. doi:10.1080/13504851.2016.1148252.
   Web of Science ®Google Scholar
• Pawlowski, T., and C. Anders. 2012. “Stadium Attendance in German Professional Football: The (Un)Importance of Uncertainty of Outcome Reconsidered.” Applied Economics Letters 19: 1553–1556. doi:10.1080/13504851.2011.639725.
   Web of Science ®Google Scholar
• Putsis, W. P., and S. K. Sen. 2000. “Should NFL Blackouts Be Banned?” Applied Economics 32: 1495–1507. doi:10.1080/000368400418907.
   Web of Science ®Google Scholar
• Richter, M. (2015). Wolfsburg Kämpft Gegen Die No-Show-Rate. Kicker online. http://www.kicker.de/news/fussball/bundesliga/startseite/634594/artikel_wolfsburg-kaempft-gegen-die-no-show-rate.html
   Google Scholar
• Rottenberg, S. 1956. “The Baseball Players’ Labor Market.” Journal of Political Economy 64: 242–258. doi:10.1086/257790.
   Web of Science ®Google Scholar
• Scelles, N. 2017. “Star Quality or Competitive Balance? Television Audience Demand for English Premier League Football Reconsidered.” Applied Economics Letters 24: 1399–1402. doi:10.1080/13504851.2017.1282125.
   Web of Science ®Google Scholar
• Scelles, N., C. Durand, L. Bonnal, D. Goyeau, and 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 45: 4184–4192. doi:10.1080/00036846.2013.770124.
   Web of Science ®Google Scholar
• Schreyer, D., S. L. Schmidt, and B. Torgler. 2016a. “Against All Odds? Exploring the Role of Game Outcome Uncertainty in Season Ticket Holders’ Stadium Attendance Demand.” Journal of Economic Psychology 56: 192–217. doi:10.1016/j.joep.2016.07.006.
   Web of Science ®Google Scholar
• Schreyer, D., S. L. Schmidt, and B. Torgler. 2016b. “Game Outcome Uncertainty in the English Premier League: Do German Fans Care?” Journal of Sports Economics 152700251667340. doi:10.1177/1527002516673406.
   Web of Science ®Google Scholar
• Schreyer, D., S. L. Schmidt, and B. Torgler. 2016c. “Game Outcome Uncertainty and Television Audiences Demand: New Evidence from German Football.” German Economic Review. doi:10.1111/geer.12120.
   Web of Science ®Google Scholar
• Schreyer, D., S. L. Schmidt, and B. Torgler. 2017. “Game Outcome Uncertainty and the Demand for International Football Games: Evidence from the German TV Market.” Journal of Media Economics 30: 31–45.
   Web of Science ®Google Scholar
• Schreyer, D., S. L. Schmidt, and B. Torgler. 2018. “Predicting Season Ticket Holder Loyalty Using Geographical Information.” Applied Economics Letters 25: 272–277. doi:10.1080/13504851.2017.1316822.
   Web of Science ®Google Scholar
• Serrano, R., J. García-Bernal, M. Fernández-Olmos, and M. A. Espitia-Escuer. 2015. “Expected Quality in European Football Attendance: Market Value and Uncertainty Reconsidered.” Applied Economics Letters 22: 1051–1054. doi:10.1080/13504851.2014.997919.
   Web of Science ®Google Scholar
• Watanabe, N. M., and B. P. Soebbing. 2015. “Ticket Price Behavior and Attendance Demand in Chinese Professional Soccer.” In Lee, Y. H., & Fort, R. (Eds.), The Sports Business in the Pacific Rim, 139–157. Springer International Publishing.
   Google Scholar
• White, H. 1980. “A Heteroscedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroscedasticity.” Econometrica 48: 817–838. doi:10.2307/1912934.
   Web of Science ®Google Scholar
• Wilson, P., and B. Sim. 1995. “The Demands of Semi-Pro League Football in Malaysia 1989–91: A Panel Data Approach.” Applied Economics 27: 131–138. doi:10.1080/00036849500000015.
   Web of Science ®Google Scholar