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Turkish bank efficiency: Bayesian estimation with undesirable outputs

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Author Info

  • George Assaf, A.
  • Matousek, Roman
  • Tsionas, Efthymios G.

Abstract

This paper analyzes the productivity and efficiency of Turkish banks from 2002 to 2010. We obtained estimates of efficiency, productivity growth and efficiency growth using a Bayesian stochastic frontier approach and focused on accounting for Non-Performing Loans (NPLs) for use in our model. Specifically, we introduce NPLs as a bad output in an input distance function, and estimate a system of non-linear equations subject to endogeneity. We confirm that the productivity growth of Turkish banks was positive over the period of this study, which was mainly due to the improvement in technology, while efficiency growth continued to be negative over the same period. Methodologically, we also prove that not accounting for NPLs in estimating the frontier model might seriously distort the efficiency and productivity results. The study also provides measures of shadow prices for NPL and discusses the results in terms of several interesting trends in Turkish banking. Finally, the paper provides efficiency and productivity comparisons between domestic and foreign banks.

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Bibliographic Info

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

Volume (Year): 37 (2013)
Issue (Month): 2 ()
Pages: 506-517

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Handle: RePEc:eee:jbfina:v:37:y:2013:i:2:p:506-517

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

Related research

Keywords: Turkey; Bank; Non-performing loans; Bayesian distance function;

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References

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Citations

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Cited by:
  1. Akinci, Dervis Ahmet & Matousek, Roman & Radić, Nemanja & Stewart, Chris, 2013. "Monetary policy and the banking sector in Turkey," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 269-285.
  2. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
  3. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.
  4. Jorge E. Galán & Helena Veiga & Michael P. Wiper, 2013. "Bayesian analysis of dynamic effects in inefficiency : evidence from the Colombian banking sector," Statistics and Econometrics Working Papers ws131918, Universidad Carlos III, Departamento de Estadística y Econometría.

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