A Machine Learning Ensembling Approach to Predicting Transfer Values

Aydemir, Ayse Elvan; Temizel, Tuğba Taşkaya; Temizel, Alptekin

doi:10.1007/s42979-022-01095-z

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…Looking at the publication years of the selected papers we see that the football players’ valuation has been a fast‐moving field in the recent years. Therefore, some of these research trends have already been under examination after our last search date, such as the validity of crowdsourced valuation methods (Campa, 2022), the development of advanced modeling techniques (Aydemir et al., 2022) or the strengthening of evidence on contractual information and valuation link (Poli et al., 2022).…”

Section: Discussionmentioning

confidence: 99%

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Determinants of football players’ valuation: A systematic review

Franceschi

Follert

Gouguet

2023

Journal of Economic Surveys

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As a result of the growth of the football players' transfer market and the increased availability of data, scholars from different fields have been investigating the topic of the empirical determination of the football players’ valuation, that is, transfer fees or monetary valuation proposed by media, for 30 years. We propose a systematic review of the topic to provide the research community with an overview of the determinants of football players' valuation. Peer‐reviewed papers written in English on men's football presenting fully available and interpretable econometrical results were selected. Based on the careful analysis of the 29 selected papers and their empirical models, this study has two main implications. First, it classifies all the independent variables used in the literature to explain or predict football players’ valuation, and proposes a set of core explanatory variables, with associated expected signs, that constitutes the common ground on which to build further research. Second, by presenting the state of the art in the current empirical literature, it highlights the existing gaps and suggests precise future research objectives. From a more general perspective, the review provides empirical insights for researchers interested in the valuation of human resources, signaling theory, market design, or bargaining theory.

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Section: Discussionmentioning

confidence: 99%

“…valuation methods (Campa, 2022), the development of advanced modeling techniques (Aydemir et al, 2022) or the strengthening of evidence on contractual information and valuation link (Poli et al, 2022).…”

Section: A C K N O W L E D G M E N T Smentioning

confidence: 99%

Determinants of football players’ valuation: A systematic review

Franceschi

Follert

Gouguet

2023

Journal of Economic Surveys

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“…One of the first works with this purpose was conducted by Carmichael et al (1999), whose econometric model estimated player transfer values based on their personal characteristics and productivity. Later, authors like Aydemir et al (2022), Lucifora and Simons (2003), Majewski (2016), Metelski (2021) Unlike previous studies, we adopted a panel data model with fixed-effect control variable for footballers, clubs and club-year interactions in order to provide the variation of non-observed characteristics over the years to control the number of omitted factors that vary over time. Fixed control effect models aim to introduce proxies of individual skills and other factors to control omitted variables that could determine footballer's market values.…”

Section: Econometric Modelmentioning

confidence: 99%

Intellectual capital and market valuation of footballers

Monte,

Lopes Filho

2023

CYN

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Football clubs are traditional institutions with the particularity of having the main characters of their successes as intangible assets, that is, their players. The aim of this work is to analyse the determinants of the market values using intellectual and structural capital indicators as explanatory variables. Descriptive statistics and panel data model estimates were used in the analyses to control the footballers’ fixed effects, the club's fixed effects and the effects of player-year and club-year interactions. Results confirmed that footballers’ market value is determined by a set of variables that can be explained by components of human capital (one’s skills), structural capital (infrastructure that supports human capital). Understanding the players’ pricing can help both clubs and players to improve their management and increase the possibility of financial success.

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