Frontier Efficiency Measurement In Deposit-Taking Financial Mutuals: A Review Of Techniques, Applications, And Future Research Directions
AbstractDespite 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. Copyright � 2010 The Author Journal compilation � CIRIEC 2010.
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Bibliographic InfoArticle provided by Wiley Blackwell in its journal Annals of Public and Cooperative Economics.
Volume (Year): 81 (2010)
Issue (Month): 1 (03)
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Other versions of this item:
- 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.
- 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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