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Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis

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  • Feng, Guohua
  • Zhang, Xiaohui

Abstract

This paper compares the productivity and efficiency of large banks and community banks in the United States over the period 1997–2006. This comparison is performed by estimating a true random effects stochastic distance frontier model—a model that is capable of disentangling unobserved heterogeneity from inefficiency—within a Bayesian framework. We find that failure to consider unobserved heterogeneity results in a misleading ranking of banks and mismeasured technical efficiency, productivity growth, and returns to scale. Our results show that, compared with community banks, large banks have experienced much higher productivity growth and higher levels of returns to scale. Our estimates of total factor productivity growth show a clear downward trend for both large and community banks, and our decomposition of the output-distance-function-based Divisia productivity index indicates that technical change is the driving force behind this trend.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 36 (2012)
Issue (Month): 7 ()
Pages: 1883-1895

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Handle: RePEc:eee:jbfina:v:36:y:2012:i:7:p:1883-1895

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Web page: http://www.elsevier.com/locate/jbf

Related research

Keywords: Productivity; True random effects stochastic distance frontier; Bayesian estimation;

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References

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Citations

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Cited by:
  1. Eskelinen, Juha & Kuosmanen, Timo, 2013. "Intertemporal efficiency analysis of sales teams of a bank: Stochastic semi-nonparametric approach," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5163-5175.
  2. Emir Malikov & Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2013. "Estimation of Banking technology under credit uncertainty," DOCUMENTOS DE TRABAJO CIEF 010938, UNIVERSIDAD EAFIT.
  3. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.
  4. Diego A. Restrepo-Tobón & Subal C. Kumbhakar & Kai Sun, 2013. "Are U.S. Commercial Banks Too Big?," DOCUMENTOS DE TRABAJO CIEF 010943, UNIVERSIDAD EAFIT.
  5. Cristina Bernini & Paola Brighi, 2012. "Modeling the effects of Geographical Expansion Strategies on the Italian Minor Banks’ Efficiency," Working Paper Series 72_12, The Rimini Centre for Economic Analysis.
  6. Kao, Chiang & Liu, Shiang-Tai, 2014. "Measuring performance improvement of Taiwanese commercial banks under uncertainty," European Journal of Operational Research, Elsevier, vol. 235(3), pages 755-764.

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