Playoff Uncertainty, Match Uncertainty and Attendance at Australian National Rugby League Matches
AbstractThis paper develops a new simulation-based measure of playoff uncertainty and investigates its contribution to modelling match attendance compared to other variants of playoff uncertainty in the existing literature. A model of match attendance that incorporates match uncertainty, playoff uncertainty, past home-team performance and other relevant control variables is fitted to Australian National Rugby League data for seasons 2004-2008 using fixed effects estimation. The results suggest that playoff uncertainty and home-team success are more important determinants of match attendance than match uncertainty. Alternative measures of playoff uncertainty based on points behind the leader, although more ad hoc, also appear able to capture the effects of playoff uncertainty.
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Bibliographic InfoArticle provided by The Economic Society of Australia in its journal The Economic Record.
Volume (Year): 88 (2012)
Issue (Month): 281 (06)
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Other versions of this item:
- Nicholas King & P Dorian Owen & Rick Audas, 2010. "Playoff Uncertainty, Match Uncertainty and Attendance at Australian National Rugby League Matches," NCER Working Paper Series 61, National Centre for Econometric Research.
- Nicholas King & P. Dorian Owen & Rick Audas, 2010. "Playoff Uncertainty, Match Uncertainty and Attendance at Australian National Rugby League Matches," Working Papers 1007, University of Otago, Department of Economics, revised Aug 2010.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
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- Liam J. A. Lenten, 2009. "Unobserved Components in Competitive Balance and Match Attendances in the Australian Football League, 1945-2005: Where is all the Action Happening?," The Economic Record, The Economic Society of Australia, vol. 85(269), pages 181-196, 06.
- repec:fth:geneec:00.04 is not listed on IDEAS
- Koning, Ruud H. & Koolhaas, Michael & Renes, Gusta, 2001.
"A simulation model for football championships,"
01A65, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Men-Andri Benz & Leif Brandes & Egon Franck, 2006.
"Do Soccer Associations Really Spend on a Good Thing? Empirical Evidence on Heterogeneity in the Consumer Response to Match Uncertainty of Outcome,"
0048, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2008.
- Men-Andri Benz & Leif Brandes & Egon 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, Western Economic Association International, vol. 27(2), pages 216-235, 04.
- Men-Andri Benz & Leif Brandes & Egon Franck, 2006. "Do Soccer Associations Really Spend on a Good Thing? Empirical Evidence on Heterogeneity in the Consumer Response to Match Uncertainty of Outcome," Working Papers 0009, University of Zurich, Center for Research in Sports Administration (CRSA), revised 2008.
- Guggenberger, Patrik, 2010. "The impact of a Hausman pretest on the size of a hypothesis test: The panel data case," Journal of Econometrics, Elsevier, vol. 156(2), pages 337-343, June.
- J. C. H. Jones & J. A. Schofield & D. E. A. Giles, 2000.
"Our fans in the north: the demand for British Rugby League,"
Taylor & Francis Journals, vol. 32(14), pages 1877-1887.
- J. Colin H. Jones & John A. Schofield & David E.A. Giles, 1999. "Our Fans in the North: The Demand for British Rugby League," Econometrics Working Papers 9902, Department of Economics, University of Victoria.
- Christopher F Baum, 2001. "Residual diagnostics for cross-section time series regression models," Stata Journal, StataCorp LP, vol. 1(1), pages 101-104, November.
- Baimbridge, Mark & Cameron, Samuel & Dawson, Peter, 1996. "Satellite Television and the Demand for Football: A Whole New Ball Game?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 43(3), pages 317-33, August.
- Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LP, vol. 6(4), pages 482-496, December.
- Stephen Dobson & John Goddard & John Wilson, 2001. "League Structure and Match Attendances in English Rugby League," International Review of Applied Economics, Taylor & Francis Journals, vol. 15(3), pages 335-351.
- Mark Baimbridge & Samuel Cameron & Peter Dawson, 1995. "Satellite broadcasting and match attendance: the case of rugby league," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 343-346.
- Jeffery Borland, 2003. "Demand for Sport," Oxford Review of Economic Policy, Oxford University Press, vol. 19(4), pages 478-502, Winter.
- Liam J. A. Lenten, 2009. "Towards a New Dynamic Measure of Competitive Balance: A Study Applied to Australia’s Two Major Professional ‘Football’ Leagues," Economic Analysis and Policy (EAP), Queensland University of Technology (QUT), School of Economics and Finance, vol. 39(3), pages 407-428, December.
- Robert J. Lemke & Matthew Leonard & Kelebogile Tlhokwane, 2010. "Estimating Attendance at Major League Baseball Games for the 2007 Season," Journal of Sports Economics, , vol. 11(3), pages 316-348, June.
- Vincent Hogan & Patrick Massey & Shane Massey, 2012. "Analysing Determinants of Match Attendance in the European Rugby Cup," Working Papers 201228, School Of Economics, University College Dublin.
- P Dorian Owen & Nicholas King, 2013.
"Competitive Balance Measures in Sports Leagues: The Effects of Variation in Season Length,"
NCER Working Paper Series
92, National Centre for Econometric Research.
- P. Dorian Owen & Nicholas King, 2013. "Competitive Balance Measures in Sports Leagues: The Effects of Variation in Season Length," Working Papers 1309, University of Otago, Department of Economics, revised Jul 2013.
- repec:qut:auncer:2013_04 is not listed on IDEAS
- P. Dorian Owen, 2013. "Measurement of Competitive Balance and Uncertainty of Outcome," Working Papers 1311, University of Otago, Department of Economics, revised Aug 2013.
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