A Bayesian stochastic frontier of Italian football

C-Tier
Journal: Applied Economics
Year: 2014
Volume: 46
Issue: 20
Pages: 2398-2407

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:taf:applec:v:46:y:2014:i:20:p:2398-2407
Journal Field
General
Author Count
2
Added to Database
2026-01-24