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Productivity and efficiency at english football clubs

A random coefficient approach

Bibliographic Data

ID10494037
AuthorsGuohua Feng (0000-0003-3450-2001, University of North Texas, corresponding author), Todd Jewell (Texas State University)
Year2018
Volume68
Issue5
Pages571-604
Publication date2018-05-14
Open AccessYes
TypeARTICLE
VenueScottish Journal of Political Economy (JOURNAL)
Journal identifiersISSN: 0036-9292 • E-ISSN: 1467-9485
PublisherWiley (PUBLISHER • GB)
DOI10.1111/sjpe.12178
OpenAlexW2804718414
LanguageEN
Citations received1
References cited30

This paper analyzes productivity and efficiency of English professional football clubs from 1981–1982 to 2010–2011, using a random coefficient stochastic distance frontier (SDF) model. Our Bayes factor analysis indicates that this model is strongly favored over the commonly used fixed coefficient SDF model. Our empirical results show that clubs in our sample operate at different levels of technical efficiency and technical change. Our further analysis using ordered logistic regression suggests that technical efficiency is more important than technical change in predicting whether clubs in our sample are promoted or relegated

Econometrics · Economics · Football · Frontier · Geography · Macroeconomics · Microeconomics · Production (economics · Production–possibility frontier · Productivity · Random effects model · Sample (material · Statistics · Stochastic frontier analysis · Technical change · Economic and Environmental Valuation · Efficiency Analysis Using DEA · Mathematics · Sports Analytics and Performance

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Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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