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A Bayesian stochastic frontier of Italian football

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  • C. P. Barros
  • G. Rossi

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.

Suggested Citation

  • C. P. Barros & G. Rossi, 2014. "A Bayesian stochastic frontier of Italian football," Applied Economics, Taylor & Francis Journals, vol. 46(20), pages 2398-2407, July.
    • Handle: RePEc:taf:applec:v:46:y:2014:i:20:p:2398-2407
    DOI: 10.1080/00036846.2014.902023
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    References listed on IDEAS

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    1. Tito Boeri & Battista Severgnini, 2014. "The decline of professional football in Italy," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 19, pages 322-335, Edward Elgar Publishing.
    2. Raul Caruso & Marco Di Domizio, 2012. "Hooliganism and demand for football in Italy. Evidence for the period 1962-2011," DISCE - Quaderni del Dipartimento di Politica Economica ispe0062, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
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    Cited by:

    1. Raul Caruso & Marco Di Domizio, 2015. "La Serie A In Televisione E Allo Stadio: Presentazione Del Dataset Audiball 1.0," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 11(1), pages 161-185, maggio.
    2. Halil İbrahim KESKİN & Hakan ÖNDES, 2020. "Measuring the Efficiency of Selected European Football Clubs: DEA and Panel Tobit Model," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(43).
    3. Carlos Pestana Barros & Peter Wanke & Otávio Figueiredo, 2015. "The Brazilian Soccer Championship: an efficiency analysis," Applied Economics, Taylor & Francis Journals, vol. 47(9), pages 906-915, February.
    4. Liu, Xiao-Yan & Pollitt, Michael G. & Xie, Bai-Chen & Liu, Li-Qiu, 2019. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Energy Economics, Elsevier, vol. 83(C), pages 333-344.
    5. C. P. Barros & Dércio Mandlaze & Scott Tainsky, 2016. "The efficiency of Mozambique soccer league: the Moçambola," Applied Economics, Taylor & Francis Journals, vol. 48(31), pages 2965-2971, July.
    6. Alexandro Barbosa & Marke Geisy da Silva Dantas & Yuri Gomes Paiva Azevedo & Victor Branco de Holanda, 2017. "Fiscal Responsibility Strategy in Brazilian Football Clubs: A Dynamic Efficiency Analysis," Brazilian Business Review, Fucape Business School, vol. 14(Special I), pages 45-66, January.
    7. C. P. Barros & O. H. dos S. Figueiredo & Silvestre Dumbo, 2016. "A performance assessment of the Angolan soccer league," Applied Economics, Taylor & Francis Journals, vol. 48(29), pages 2711-2720, June.

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