Aggregate Wages Of Players and Performance in Italian Serie A

Raul Caruso (), Marco Di Domizio and Domenico Rossignoli

MPRA Paper from University Library of Munich, Germany

Abstract: This paper investigated the relationship between players’ wages and sport performance in the Italian top professional football league - Serie A. The analysis focused on 14 seasons from 2001/2002 to 2014/2015. Findings show that aggregate wage expenditure is a robust predictor of success for Italian professional football teams. We first exploited a fixed-effects panel data and eventually we have addressed the problem of endogeneity by providing a dynamic IV specification of the model. Based on the System-GMM framework, we employed a model including lagged terms of dependent variables and covariates as instruments to control for endogeneity as well as alternative exogenous instruments to control for geographical/environmental factors and for socio-economic factors that could be the actual predictors of performance through an indirect effect on payroll.

Keywords: Italian serie A; football; soccer; talent; wages; sport performance (search for similar items in EconPapers)
JEL-codes: J40 J49 L83 Z19 (search for similar items in EconPapers)
Date: 2016-07
New Economics Papers: this item is included in nep-spo
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/72720/1/MPRA_paper_72720.pdf original version (application/pdf)

Related works:
Journal Article: Aggregate wages of players and performance in Italian Serie A (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:72720

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().