2017
DOI: 10.1007/s40888-017-0062-6
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Aggregate wages of players and performance in Italian Serie A

Abstract: This paper investigated the relationship between players' wages and sport performance in the Italian

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Cited by 7 publications
(9 citation statements)
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References 27 publications
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“…We follow the literature 1 on the relationships between sporting performances and wage 1. See, for example, Sommers (1998) for NHL, Franck and Nüesch (2011) for the first German soccer league, Coates, Frick, and Jewell (2016) for MLS, Yamamura (2015) for the Japanese football league, and Caruso, Di Domizio, and Rossignoli (2017) for the Italian Serie A. dispersion in using both the Gini index (Gini) and the coefficient of variation (CV) as measures of salary concentration.…”
Section: A Methodologymentioning
confidence: 99%
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“…We follow the literature 1 on the relationships between sporting performances and wage 1. See, for example, Sommers (1998) for NHL, Franck and Nüesch (2011) for the first German soccer league, Coates, Frick, and Jewell (2016) for MLS, Yamamura (2015) for the Japanese football league, and Caruso, Di Domizio, and Rossignoli (2017) for the Italian Serie A. dispersion in using both the Gini index (Gini) and the coefficient of variation (CV) as measures of salary concentration.…”
Section: A Methodologymentioning
confidence: 99%
“…Secondly, we control for different team characteristics using a vector X which includes the number of players who have competed on some country's national team ( National ) and explains the quality characteristics of the player. Caruso, Di Domizio, and Rossignoli () implemented the same approach. Players with international experience are presumably better than players without such experience and clubs in their first year of existence are expected to be weaker than older clubs.…”
Section: Methodology and Datamentioning
confidence: 99%
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“…The number of players in the squad ( s ) is used as a control variable once dispersion indexes are sensitive to the number of observations – a negative coefficient is expected since Franck and Nüesch (2011) previously found the negative effect of roster size in their work. Bucciol et al (2014) and Caruso et al (2017) address the impact of the average age of the squad in the performance. Meanwhile, Franck and Nüesch (2011) control the performance by the number of players in the squad.…”
Section: Methodsmentioning
confidence: 99%
“…However, prior literature analyzing the relationship between wage dispersion and football club performance overlooked the intra-league heterogeneity in their analysis. Some football leagues have been examined, such as the German (Franck & Nüesch, 2011), Italian (Bucciol et al, 2014; Caruso et al, 2017), Japanese (Yamamura, 2015), and North-American (Bykova & Coates, 2020; Coates et al, 2014), but the heterogeneity has not been addressed. In this sense, the previous findings could be somehow biased by certain clubs in their sample which may drive most of the variation.…”
Section: The Role Of Firm Sizementioning
confidence: 99%