Please use this identifier to cite or link to this item:
Poli, Raffaele
Besson, Roger
Ravenel, Loïc
Year of Publication: 
[Journal:] Economies [ISSN:] 2227-7099 [Volume:] 10 [Issue:] 1 [Article No.:] 4 [Publisher:] MDPI [Place:] Basel [Year:] 2022 [Pages:] 1-14
MDPI, Basel
Billions of euros are invested every year by professional football clubs for the recruitment of players. How do market actors decide prices? This paper presents an econometric model unveiling the key factors coming into play in determining fees on the transfer market for professional football (soccer) players. The statistical technique used to build the model is multiple linear regression (MLR), with fees paid by clubs as an independent variable. The sample comprises over 2000 transactions of players transferred for money from clubs in the five major European leagues during the period stretching from July 2012 to November 2021. This paper notably highlights the importance of taking into consideration the remaining duration of contracts binding players with the club to which they belong, a factor often neglected in the existing literature. It also shows that a statistical model can explain over 80% of the differences in the transfer fees paid for players. This paper reveals various applications of the approach developed for the football industry to both assess and predict football players' transfer fees and values: transfer negotiations, club sales or purchases, bank credit, fund raising, financial planning and communication, legal disputes, etc.
econometric model
transfer fees
transfer value
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 

Files in This Item:

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.