Barros, C. and Rossi, Giambattista (2014) A Bayesian stochastic frontier of Italian football. Applied Economics 46 (20), pp. 2398-2407. ISSN 0003-6846.
Abstract
This study analyses the technical efficiency of Serie A Italian football clubs during the 2004–2012 seasons with a Bayesian stochastic frontier model using unique data extracted from clubs’ annual reports. Specifically, the focus of the study is on assessing the impact effects on clubs’ efficiency whether they are big clubs, they employ several foreign player, they compete in European competitions and their involvement with football scandals in the Italian football. The empirical results reveal that efficiency varies among the clubs analysed and policy implications are derived.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | Italy, football clubs, stochastic Bayesian frontier, corruption |
| School: | Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Research Centres and Institutes: | Birkbeck Sport Business Centre |
| Depositing User: | Giambattista Rossi |
| Date Deposited: | 27 Jul 2015 12:30 |
| Last Modified: | 02 Aug 2023 17:17 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/12567 |
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