Do High Wage Footballers Play for High Wage Teams?

Scarfe, Rachel; Singleton, Carl; Telemo, Paul

doi:10.2139/ssrn.3297644

Cited by 3 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The data that support the findings of this study are openly available in OPENICPSR at https://doi.org/10.3886/E193381V3, Scarfe et al. (2023).…”

Section: Data Availability Statementsupporting

confidence: 78%

“…1 Due to this unique setting and data availability, MLS has been used previously to test theories of the labor market, for example,: Coates et al ( 2016) found a negative relationship between within-firm wage inequality and firm performance; Scarfe et al (2020) showed that a team's success on the pitch tends to correlate with consistently paying a relatively low price for talent; Scarfe et al (2021) tested whether the productivity or popularity based theories of Rosen (1981) and Adler (1985), respectively, could best account for the superstar wages of top earners; and Butler and Coates (2022) showed that MLS goalkeepers generally receive a wage penalty, and outfield players who can perform multiple roles receive a premium.…”

Section: Acknowledgmentsmentioning

confidence: 99%

See 1 more Smart Citation

The age‐wage‐productivity puzzle: Evidence from the careers of top earners

Scarfe,

Singleton,

Sunmoni

et al. 2023

Economic Inquiry

Self Cite

View full text Add to dashboard Cite

There is an inverted u‐shaped relationship between age and wages in most labor markets, but the effects of age on productivity are often unclear. We use panel data in a market of high earners, professional footballers (soccer players) in North America, to estimate age‐productivity and age‐wage profiles. We find stark differences; wages increase for several years after productivity has peaked, before dropping sharply at the end of a career. This poses the question: why are middle‐aged workers seemingly overpaid? We investigate a range of possible mechanisms that could be responsible, only finding evidence that tentatively supports a talent discovery theory.

show abstract

“…The data that support the findings of this study are openly available in OPENICPSR at https://doi.org/10.3886/E193381V3, Scarfe et al. (2023).…”

Section: Data Availability Statementsupporting

confidence: 78%

Section: Acknowledgmentsmentioning

confidence: 99%

The age‐wage‐productivity puzzle: Evidence from the careers of top earners

Scarfe,

Singleton,

Sunmoni

et al. 2023

Economic Inquiry

Self Cite

View full text Add to dashboard Cite

show abstract

“…In our empirical analysis we study the European labor market for football managers. A football manager's main responsibility is to maximize the performance 2 Both Drut and Duhautois (2017) and Scarfe et al (2020) estimate worker and firm effects along the traditional approach using wage data from the Italian and US football leagues, respectively. They find contradicting results with a positive correlation between worker and firm effects for Italy, but a negative correlation for the US.…”

Section: European Labor Market For Football Managersmentioning

confidence: 99%

International Assortative Matching in the European Labor Market

Peeters

Ours

2022

SSRN Journal

View full text Add to dashboard Cite

Salaries of Athletes: Features of Formation and Regulation

Shavandina¹,

Kovalenko²

2021

EPB

View full text Add to dashboard Cite

The article discusses the features of the formation of wages of professional athletes in the Russian Federation. Foreign and Russian researchers, analyzing the formation of contractual remuneration, come to the conclusion that the income of athletes depends on the sport, the performance of the player in the past and present, the popularity of the fans of this athlete, the country of his birth, the interest of the team in this player, his individual characteristics, the financial capabilities of the team/club, etc. To analyze the factors that affect the amount of income of athletes, an integral model is proposed, which is based on individual indicators of the athlete and financial standards that transform the corresponding personalized indicator into a monetary equivalent. In addition, the authors propose to supplement the methodology for analyzing the wage fund with indicators of the concentration of wages by the average value, entropy, and the coefficient of dispersion. The proposed analytical procedures, according to the authors, will allow the management of a sports organization to ensure the comparability of individual indicators (achievements) of an athlete with his salary, increase its transparency, smooth out the disproportions in the distribution of income within the team/club and effectively use the financial and material resources of the organization.

show abstract

Do High Wage Footballers Play for High Wage Teams?

Cited by 3 publications

References 20 publications

The age‐wage‐productivity puzzle: Evidence from the careers of top earners

The age‐wage‐productivity puzzle: Evidence from the careers of top earners

International Assortative Matching in the European Labor Market

Salaries of Athletes: Features of Formation and Regulation

Contact Info

Product

Resources

About