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Insights for clubs from modelling match attendance in football

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Insights for clubs from modelling match attendance in football. / Buraimo, B; Forrest, D; Simmons, R.
In: Journal of the Operational Research Society, Vol. 60, No. 2, 2009, p. 147-155.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Buraimo, B, Forrest, D & Simmons, R 2009, 'Insights for clubs from modelling match attendance in football', Journal of the Operational Research Society, vol. 60, no. 2, pp. 147-155. https://doi.org/10.1057/palgrave.jors.2602549

APA

Buraimo, B., Forrest, D., & Simmons, R. (2009). Insights for clubs from modelling match attendance in football. Journal of the Operational Research Society, 60(2), 147-155. https://doi.org/10.1057/palgrave.jors.2602549

Vancouver

Buraimo B, Forrest D, Simmons R. Insights for clubs from modelling match attendance in football. Journal of the Operational Research Society. 2009;60(2):147-155. doi: 10.1057/palgrave.jors.2602549

Author

Buraimo, B ; Forrest, D ; Simmons, R. / Insights for clubs from modelling match attendance in football. In: Journal of the Operational Research Society. 2009 ; Vol. 60, No. 2. pp. 147-155.

Bibtex

@article{230bd27f80474b04b18461255a15165f,
title = "Insights for clubs from modelling match attendance in football",
abstract = "The paper employs data from 2884 matches in the English Football League Championship. It builds a model of determinants of attendance designed to yield results relevant to decision-taking at individual clubs. The model has two innovatory features. It controls for the market size of home and away teams precisely by including local population measures constructed from the application of GIS software and information on competition from other clubs. It incorporates these time-invariant covariates in a Hausman–Taylor random effects estimator to take explicit account of variables typically excluded in earlier studies based on fixed effects models. Unlike fixed effects results, Hausman–Taylor estimates permit assessment of the role of market size and quality of the playing squad in determining attendance. Results also quantify the reduction in attendance from televising a match and show that attendance diminishes when a match is played simultaneously with a televised game in a higher status competition.",
author = "B Buraimo and D Forrest and R Simmons",
year = "2009",
doi = "10.1057/palgrave.jors.2602549",
language = "English",
volume = "60",
pages = "147--155",
journal = "Journal of the Operational Research Society",
issn = "1476-9360",
publisher = "Taylor and Francis Ltd.",
number = "2",

}

RIS

TY - JOUR

T1 - Insights for clubs from modelling match attendance in football

AU - Buraimo, B

AU - Forrest, D

AU - Simmons, R

PY - 2009

Y1 - 2009

N2 - The paper employs data from 2884 matches in the English Football League Championship. It builds a model of determinants of attendance designed to yield results relevant to decision-taking at individual clubs. The model has two innovatory features. It controls for the market size of home and away teams precisely by including local population measures constructed from the application of GIS software and information on competition from other clubs. It incorporates these time-invariant covariates in a Hausman–Taylor random effects estimator to take explicit account of variables typically excluded in earlier studies based on fixed effects models. Unlike fixed effects results, Hausman–Taylor estimates permit assessment of the role of market size and quality of the playing squad in determining attendance. Results also quantify the reduction in attendance from televising a match and show that attendance diminishes when a match is played simultaneously with a televised game in a higher status competition.

AB - The paper employs data from 2884 matches in the English Football League Championship. It builds a model of determinants of attendance designed to yield results relevant to decision-taking at individual clubs. The model has two innovatory features. It controls for the market size of home and away teams precisely by including local population measures constructed from the application of GIS software and information on competition from other clubs. It incorporates these time-invariant covariates in a Hausman–Taylor random effects estimator to take explicit account of variables typically excluded in earlier studies based on fixed effects models. Unlike fixed effects results, Hausman–Taylor estimates permit assessment of the role of market size and quality of the playing squad in determining attendance. Results also quantify the reduction in attendance from televising a match and show that attendance diminishes when a match is played simultaneously with a televised game in a higher status competition.

U2 - 10.1057/palgrave.jors.2602549

DO - 10.1057/palgrave.jors.2602549

M3 - Journal article

VL - 60

SP - 147

EP - 155

JO - Journal of the Operational Research Society

JF - Journal of the Operational Research Society

SN - 1476-9360

IS - 2

ER -