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    A Bayesian stochastic frontier of Italian football

    Barros, C. and Rossi, Giambattista (2014) A Bayesian stochastic frontier of Italian football. Applied Economics 46 (20), pp. 2398-2407. ISSN 0003-6846.

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    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 Schools and Departments > School of Business, Economics & Informatics > Management
    Depositing User: Giambattista Rossi
    Date Deposited: 27 Jul 2015 12:30
    Last Modified: 27 Jul 2015 12:30
    URI: http://eprints.bbk.ac.uk/id/eprint/12567

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