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Management Efficiency in Football: An Empirical Analysis of Two Extreme Cases

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  • Miguel Jara
  • Dimitri Paolini
  • Juan Dios Tena Horrillo

Abstract

Analysis of managerial efficiency in sport economics typically focuses on evaluating coach decisions instead of assessing the organization as a whole. This paper studies the relative importance of variables related to power and managerial decisions by estimating stochastic production frontiers models for the Chilean and Italian football leagues. We find that historical and geographical variables intended to capture market size play their expected roles in both Italy and Chile. However, the degree of technical inefficiency is lower magnitude in Chile. This difference could be due to a smaller market size and/or to financial constraints faced by small clubs in this country. Copyright © 2014 John Wiley & Sons, Ltd.

Suggested Citation

  • Miguel Jara & Dimitri Paolini & Juan Dios Tena Horrillo, 2015. "Management Efficiency in Football: An Empirical Analysis of Two Extreme Cases," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 36(5), pages 286-298, July.
    • Handle: RePEc:wly:mgtdec:v:36:y:2015:i:5:p:286-298
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    Cited by:

    1. is not listed on IDEAS
    2. D. Paolini, 2012. "Institutional Complexity and Managerial Efficiency: A Simple Model," Working Paper CRENoS 201223, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    3. WUNSCH, Guillaume & MOUCHART, Michel & RUSSO, Federica, 2012. "Functions and mechanisms in structural-modelling explanations," LIDAM Discussion Papers CORE 2012056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. ROELS, Guillaume & CHEVALIER, Philippe & WEI, Ying, 2012. "United we stand? Coordinating capacity investment and allocation in joint ventures," LIDAM Discussion Papers CORE 2012045, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. NESTEROV, Yurii & NEMIROVSKI, Arkadi, 2012. "Finding the stationary states of Markov chains by iterative methods," LIDAM Discussion Papers CORE 2012058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Wang, Cindy Shin-Huei & Bauwens, Luc & Hsiao, Cheng, 2013. "Forecasting a long memory process subject to structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 171-184.
    7. Firanchuk, Alexander (Фиранчук, Александр), 2017. "Illegal Re-Export and Analysis of the Effectiveness of the Russian Food Embargo in 2014 [Незаконный Реэкспорт И Анализ Эффективности Российского Продовольственного Эмбарго 2014 Года]," Working Papers 041705, Russian Presidential Academy of National Economy and Public Administration.

    More about this item

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations

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