Uncovering Value Drivers of High Performance Soccer Players

Maribel Serna Rodríguez*, Andrés Ramírez Hassan, Alexander Coad

*この研究の対応する著者

研究成果: Article査読

3 被引用数 (Scopus)

抄録

This article tries to uncover the drivers of soccer players’ market value in the five major European soccer leagues taking into account model uncertainty (variable selection) in a framework with 35 billion potential models. For this purpose, we use a hedonic regression framework and implement Bayesian model averaging (BMA) through Markov chain Monte Carlo model composition (MC3). To deal with endogeneity issues, instrumental variable Bayesian model averaging (IVBMA) is implemented as well. We find very strong, and robust evidence, that the most important value drivers are player’s performance, participation in the national team (senior and under-21), age, and age squared.

本文言語English
ページ(範囲)819-849
ページ数31
ジャーナルJournal of Sports Economics
20
6
DOI
出版ステータスPublished - 2019 8 1
外部発表はい

ASJC Scopus subject areas

  • 経済学、計量経済学および金融学(その他)

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