The paper investigates potential bias in awards of player disciplinary sanctions, in the form of cautions (yellow cards) and dismissals (red cards) by referees in the English Premier League and the German "Bundesliga". Previous studies of behaviour of soccer referees have not adequately incorporated within-game information. Descriptive statistics from our samples clearly show that home teams receive fewer yellow and red cards than away teams. These differences may be wrongly interpreted as evidence of bias where the modeller has failed to include within-game events such as goals scored and recent cards issued. What appears as referee favouritism may actually be excessive and illegal aggressive behaviour by players in teams that are behind in score. We deal with these issues by using a minute-by-minute bivariate probit analysis of yellow and red cards issued in games over six seasons in the two leagues. The significance of a variable to denote the difference in score at the time of sanction suggests that foul play that is induced by a losing position is an important influence on the award of yellow and red cards. Controlling for various pre-game and within-game variables, we find evidence that is indicative of home team favouritism induced by crowd pressure: in Germany home teams with running tracks in their stadia attract more yellow and red cards than teams playing in stadia with less distance between the crowd and the pitch. Separating the competing teams in matches by favourite and underdog status, as perceived by the betting market, yields further evidence, this time for both leagues, that the source of home teams receiving fewer cards is not just that they are disproportionately often the favoured team and disproportionately ahead in score. Thus there is evidence that is consistent with pure referee bias in relative treatments of home and away teams. Copyright (c) 2009 Royal Statistical Society.

Previous studies of attendance demand for professional team sports have failed to yield clear-cut findings on the importance of outcome uncertainty to consumers. But potentially fewer problems should arise in examining the link between outcome uncertainty and demand in the television market for team sports, which of the case of English Premier League football is in fact a more important component in total club revenue. This study models both the choice of which games to show and the size of audience attracted by each game, exploiting data on audience sizes for games between 1993 and 2002. We propose a new measure of match outcome uncertainty and, from our results, both the broadcaster and the audience appear interested in competitive balance. Copyright (c) Scottish Economic Society 2005.

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Demand studies of professional team sports have traditionally focused on stadium attendance; however, advances in broadcasting mean that teams generate revenue from stadium goers and broadcasters alike. Previous studies of demand have focused on stadium attendance and television audiences, but none have assessed the demand for match-day attendances and demand by television audiences jointly. This study models match-day attendances and television audiences using data from tier-two of English league football. It shows that while televised matches depress stadium attendances, ceteris paribus, there is an important feedback in that larger stadium attendances have positive impacts on the size of television audiences.

This paper tests for the impact of match outcome uncertainty on two types of audience for Spanish football, fans at the stadium and television viewers. We find that fans inside the stadium prefer games that are less and not more likely to finish with a close score. This is contrary to much theoretical literature in sports economics which argues that fans prefer close contests and imposes this assumption in formal modelling. We also find that television viewers prefer close contests to more predictable contests.The different preferences of fans inside the stadium and television viewers need to be reconciled by the league when considering the effectiveness of policies to redistribute resources amongst teams in the league. We use our empirical model to consider how this tension might be resolved so as to maximise total audience and total league revenues.