nep-spo New Economics Papers
on Sports and Economics
Issue of 2007‒02‒17
two papers chosen by
Joao Carlos Correia Leitao
University of the Beira Interior

  1. Robust estimates of the impact of broadcasting on match attendance in football By Rob Simmons; David Forrest; Babatunde Buraimo
  2. Market size and attendance in English Premier League football By Rob Simmons; Babatunde Buraimo

  1. By: Rob Simmons; David Forrest; Babatunde Buraimo
    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
    Date: 2006
    URL: http://d.repec.org/n?u=RePEc:lan:wpaper:003093&r=spo
  2. By: Rob Simmons; Babatunde Buraimo
    Abstract: This paper models the impacts of market size and team competition for fan base on matchday attendance in the English Premier League over the period 1997-2004 using a large panel data set. We construct a comprehensive set of control variables and use tobit estimation to overcome the problems caused by sell-out crowds. We also account for unobserved influences on attendance by means of random effects attached to home teams. Our treatment of market size, with its use of Geographical Information System techniques, is more sophisticated than in previous attendance demand studies.
    Date: 2006
    URL: http://d.repec.org/n?u=RePEc:lan:wpaper:003092&r=spo

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