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Estimating cost efficiency of Turkish commercial banks under unobserved heterogeneity with stochastic frontier models

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  • Hakan Gunes
  • Dilem Yildirim

Abstract

This study aims to investigate the cost efficiency of Turkish commercial banks over the restructuring period of the Turkish banking system, which coincides with the 2008 financial global crisis and the 2010 European sovereign debt crisis. To this end, within the stochastic frontier framework, we employ true fixed effects model, where the unobserved bank heterogeneity is integrated in the inefficiency distribution at a mean level. To select the cost function with the most appropriate inefficiency correlates, we first adopt a search algorithm and then utilize the model averaging approach to verify that our results are not exposed to model selection bias. Overall, our empirical results reveal that cost efficiencies of Turkish banks have improved over time, with the effects of the 2008 and 2010 crises remaining rather limited. Furthermore, not only the cost efficiency scores but also impacts of the crises on those scores appear to vary with regard to bank size and ownership structure, in accordance with much of the existing literature.

Suggested Citation

  • Hakan Gunes & Dilem Yildirim, 2016. "Estimating cost efficiency of Turkish commercial banks under unobserved heterogeneity with stochastic frontier models," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 16(4), pages 127-136.
    • Handle: RePEc:tcb:cebare:v:16:y:2016:i:4:p:127-136
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    File URL: http://www.sciencedirect.com/science/journal/13030701/16/4
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    Citations

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    Cited by:

    1. Nuri Altintas & Alessandra Ferrari & Claudia Girardone, 2022. "Do financial reforms always improve banks efficiency and competition? A long-term analysis of Turkey’s experience," Journal of Banking Regulation, Palgrave Macmillan, vol. 23(4), pages 458-469, December.
    2. Abayomi Oredegbe, 2021. "Cost Efficiency Determinants: Evidence from the Canadian Banking Industry," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(1), pages 1-86, July.
    3. M.V. Leonov, 2021. "Review of Modern Approaches for Assessing the Effectiveness of Banking," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 294-326.
    4. Kai Sun & Ruhul Salim, 2020. "A semiparametric stochastic input distance frontier model with application to the Indonesian banking industry," Journal of Productivity Analysis, Springer, vol. 54(2), pages 139-156, December.
    5. Faten Ben Bouheni & Hassan Obeid & Elena Margarint, 2022. "Nonperforming loan of European Islamic banks over the economic cycle," Annals of Operations Research, Springer, vol. 313(2), pages 773-808, June.
    6. Ayobami Ojeyinka, Titus & Enisan Akinlo, Anthony, 2021. "Does Bank Size Affect Efficiency? Evidence From Commercial Banks In Nigeria," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 8(1), pages 79-100, June.

    More about this item

    Keywords

    Stochastic frontier; Cost efficiency; Turkish commercial banks; Panel data; Unobserved heterogeneity; True fixed effects; Model uncertainty; Model-averaged efficiency;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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