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Frontier Efficiency Measurement in Deposit-taking Financial Mutuals: A Review of Techniques, Application, and Future Research Directions

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  • Andrew C. Worthington

Abstract

ABSTRACT**: Despite the global importance of mutuals in financial services, and the universal need to measure and improve organizational efficiency in all deposit‐taking institutions, it is only relatively recently that the most advanced econometric and mathematical programming frontier techniques have been applied. This paper provides a synoptic survey of the comparatively few empirical analyses of frontier efficiency measurement in deposit‐taking financial mutuals, comprising savings and loans, building societies and credit unions in Australia, the UK, and the USA. Both estimation and measurement techniques and the determinants of efficiency are examined. Particular focus is placed on how the results of these studies may help inform regulatory policy and managerial behaviour.
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  • Andrew C. Worthington, 2009. "Frontier Efficiency Measurement in Deposit-taking Financial Mutuals: A Review of Techniques, Application, and Future Research Directions," Discussion Papers in Finance finance:200911, Griffith University, Department of Accounting, Finance and Economics.
    • Handle: RePEc:gri:fpaper:finance:200911
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    Cited by:

    1. Lynn Mcalevey & Alexander Sibbald & David Tripe, 2010. "New Zealand Credit Union Mergers," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 81(3), pages 423-444, September.
    2. Johann Burgstaller, 2020. "Retail‐bank efficiency: Nonstandard goals and environmental determinants," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 91(2), pages 269-301, June.
    3. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    4. Helen Higgs & Andrew C. Worthington, 2010. "Economies of Scale and Scope in Australian Superannuation Funds," Discussion Papers in Finance finance:201015, Griffith University, Department of Accounting, Finance and Economics.
    5. Malcolm Abbott & Su Wu & Wei Wang, 2013. "The productivity and performance of Australia’s major banks since deregulation," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(1), pages 122-135, January.
    6. Almudena Martínez-Campillo & Yolanda Fernández-Santos, 2017. "What About the Social Efficiency in Credit Cooperatives? Evidence from Spain (2008–2014)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 607-629, March.
    7. McKillop, Donal G. & Quinn, Barry, 2017. "Irish credit unions: Differential regulation based on business model complexity," The British Accounting Review, Elsevier, vol. 49(2), pages 230-241.
    8. Almudena Martínez-Campillo & Yolanda Fernández-Santos & María Pilar Sierra-Fernández, 2018. "How Well Have Social Economy Financial Institutions Performed During the Crisis Period? Exploring Financial and Social Efficiency in Spanish Credit Unions," Journal of Business Ethics, Springer, vol. 151(2), pages 319-336, August.

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    More about this item

    Keywords

    Data envelopment analysis; Stochastic frontier analysis; Technical; allocative; Productive; Profit and cost efficiency; Credit unions; Building societies; Savings and loans;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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