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Robust estimates of the impact of broadcasting on match attendance in football

Research output: Working paper

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Robust estimates of the impact of broadcasting on match attendance in football. / Buraimo, B; Forrest, D; Simmons, R.
Lancaster University: The Department of Economics, 2006. (Economics Working Paper Series).

Research output: Working paper

Harvard

Buraimo, B, Forrest, D & Simmons, R 2006 'Robust estimates of the impact of broadcasting on match attendance in football' Economics Working Paper Series, The Department of Economics, Lancaster University.

APA

Buraimo, B., Forrest, D., & Simmons, R. (2006). Robust estimates of the impact of broadcasting on match attendance in football. (Economics Working Paper Series). The Department of Economics.

Vancouver

Buraimo B, Forrest D, Simmons R. Robust estimates of the impact of broadcasting on match attendance in football. Lancaster University: The Department of Economics. 2006. (Economics Working Paper Series).

Author

Buraimo, B ; Forrest, D ; Simmons, R. / Robust estimates of the impact of broadcasting on match attendance in football. Lancaster University : The Department of Economics, 2006. (Economics Working Paper Series).

Bibtex

@techreport{726bf11b99e541fd81735a9c6d7a5fb7,
title = "Robust estimates of the impact of broadcasting on match attendance in football",
abstract = "The paper employs data from 2,884 matches, of which 158 were televised, in the second tier of English football (currently known as The Football League Championship). It builds a model of the determinants of attendance that is designed to yield estimates of the proportionate changes in the size of crowds resulting from games being shown on either free-to-air or subscription based channels. The model has two innovatory features. First, it controls for the market size of home and away teams very precisely by including local population measures constructed from the application of GIS software and information on competition from other clubs. Second, it employs the Hausman-Taylor random effects estimator in order to take explicit account of the endogeneity of the television coverage variable and of other variables typically included in earlier studies based on ordinary least squares or fixed effects models of attendance. The Hausman-Taylor estimates of the impact of broadcasting are greater than those reported in such studies. In the case of free-to-air television, the negative impact is estimated as over 20 percent but for subscription television, which carried most of the transmissions, the negative effect was only of the order of 5 percent.",
keywords = "football attendance, television, Hausman-Taylor Estimator",
author = "B Buraimo and D Forrest and R Simmons",
year = "2006",
language = "English",
series = "Economics Working Paper Series",
publisher = "The Department of Economics",
type = "WorkingPaper",
institution = "The Department of Economics",

}

RIS

TY - UNPB

T1 - Robust estimates of the impact of broadcasting on match attendance in football

AU - Buraimo, B

AU - Forrest, D

AU - Simmons, R

PY - 2006

Y1 - 2006

N2 - The paper employs data from 2,884 matches, of which 158 were televised, in the second tier of English football (currently known as The Football League Championship). It builds a model of the determinants of attendance that is designed to yield estimates of the proportionate changes in the size of crowds resulting from games being shown on either free-to-air or subscription based channels. The model has two innovatory features. First, it controls for the market size of home and away teams very precisely by including local population measures constructed from the application of GIS software and information on competition from other clubs. Second, it employs the Hausman-Taylor random effects estimator in order to take explicit account of the endogeneity of the television coverage variable and of other variables typically included in earlier studies based on ordinary least squares or fixed effects models of attendance. The Hausman-Taylor estimates of the impact of broadcasting are greater than those reported in such studies. In the case of free-to-air television, the negative impact is estimated as over 20 percent but for subscription television, which carried most of the transmissions, the negative effect was only of the order of 5 percent.

AB - The paper employs data from 2,884 matches, of which 158 were televised, in the second tier of English football (currently known as The Football League Championship). It builds a model of the determinants of attendance that is designed to yield estimates of the proportionate changes in the size of crowds resulting from games being shown on either free-to-air or subscription based channels. The model has two innovatory features. First, it controls for the market size of home and away teams very precisely by including local population measures constructed from the application of GIS software and information on competition from other clubs. Second, it employs the Hausman-Taylor random effects estimator in order to take explicit account of the endogeneity of the television coverage variable and of other variables typically included in earlier studies based on ordinary least squares or fixed effects models of attendance. The Hausman-Taylor estimates of the impact of broadcasting are greater than those reported in such studies. In the case of free-to-air television, the negative impact is estimated as over 20 percent but for subscription television, which carried most of the transmissions, the negative effect was only of the order of 5 percent.

KW - football attendance

KW - television

KW - Hausman-Taylor Estimator

M3 - Working paper

T3 - Economics Working Paper Series

BT - Robust estimates of the impact of broadcasting on match attendance in football

PB - The Department of Economics

CY - Lancaster University

ER -