Like many sports in adolescence, junior hockey is organized by age groups. Typically, players born after December 31st are placed in the subsequent age cohort and as a result, will have an age advantage over those players born closer to the end of the year. While this relative age effect (RAE) has been well-established in junior hockey and other professional sports, the long-term impact of this phenomenon is not well understood. Using roster data on North American National Hockey League (NHL) players from the 2008–2009 season to the 2015–2016 season, we document a RAE reversal—players born in the last quarter of the year (October-December) score more and command higher salaries than those born in the first quarter of the year. This reversal is even more pronounced among the NHL “elite.” We find that among players in the 90th percentile of scoring, those born in the last quarter of the year score about 9 more points per season than those born in the first quarter. Likewise, elite players in the 90th percentile of salary who are born in the last quarter of the year earn 51% more pay than players born at the start of the year. Surprisingly, compared to players at the lower end of the performance distribution, the RAE reversal is about three to four times greater among elite players.
Summary Using panel data on professional footballers and their teams over a seven year period we find a substantial wage premium for migrants which persists within teams and is only partially accounted for by players' on‐field labour productivity. We show that the differential partly reflects the superstar status of migrant workers. This superstar effect is apparent in migrant effects on team performance and crowd attendance.
Italian football represents a paradox. It produces teams which, at the elite level, are the most successful in European club competitions, and second only to Brazil in national competitions. The quality of its players, in terms of sporting excellence, make it one of the most admired football cultures in the world. The romance and tradition of Italian football captures the imagination of a global sporting public. On the other hand, the industry is chronically unprofitable and unstable, and characterized by a long history of financial scandal. The 2007/2008 season saw it continue to endure an ongoing crisis of confidence in the wake of financial and sporting scandals, an upsurge of spectator violence in dilapidated stadia and crowds well below their peak in the 1990s. This article presents a comprehensive case study of the recent history of Italian football focusing on its administration, governance and regulation. The objective of the case study is to provide a detailed context, in one of the big five European football markets (the others being England, France, Germany and Spain), against which to analyse and inform fresh thinking on how more effective systems of corporate governance in European football might be developed. Much of what is written about the governance of football tends to focus on the English industry. A premise of this article is that it is necessary to move beyond an anglo‐centric orientation and analyse the systems and experience in other European football markets and cultures. This is because football in individual countries forms part of a pyramid structure ultimately governed by the European football governing body, UEFA. What happens in individual country markets has the potential to affect what happens in other markets either by way of example, through influencing UEFA policy, or through precedent‐setting rulings in the courts, such as the Bosman ruling of 1995 which allowed players free movement at the end of their contracts without a transfer fee having to be paid as had hitherto been the case. The case study is interdisciplinary in its focus - economic, social and political dimensions are all important in trying to understand what constitutes the Italian model of football, a European model of football or indeed the European model of football. Critically the article asks the following questions: (1) Is it possible for Italian football to prosper in an environment in which there appears to have been significant shortcomings in governance? (2) If not, what should be the key planks of an agenda for reform? (3) Is there potential for 'contagion' of negative Italian experience in the rest of the European football market
Social media is now used as a forecasting tool by a variety of firms and agencies. But how useful are such data in forecasting outcomes? Can social media add any information to that produced by a prediction/betting market? We source 13.8 million posts from Twitter, and combine them with contemporaneous Betfair betting prices, to forecast the outcomes of English Premier League soccer matches as they unfold. Using a microblogging dictionary to analyze the content of Tweets, we find that the aggregate tone of Tweets contains significant information not in betting prices, particularly in the immediate aftermath of goals and red cards. (JEL G14, G17)
This article uses data for Italian Serie A to estimate a production function for the league and the relative efficiency of the clubs playing in it. It utilizes a panel data set comprising season aggregated match statistics for 36 Serie A clubs that played over 10 seasons from 2000 to 2010. The seasons affected by the Calciopoli corruption scandal are incorporated with specific indicators in the statistical model. The results highlight the importance of attacking play in Serie A, the role played by historic success or lack of it and, more tentatively, the potential gains and also costs from fraudulent behavior.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.