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Measuring Bank Efficiency: A Meta-Regression Analysis

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  • Zuzana Iršová
  • Tomáš Havránek

Abstract

This article presents a meta-regression analysis of 32 studies on frontier efficiency measurement in banking, focusing on the sensitivity of the reported estimates to the methodological design. Our findings suggest that study design is crucial for the resulting scores. The differences between the scores estimated using parametric and non-parametric approaches arise when the Fourierflexible functional form is used since this functional form yields lower scores. Generally, the higher the number of observations, the higher is the average estimated efficiency. The removal of scale effects using equity capital increases the profit efficiency but it is insignificant for other scores. The efficiency analysis should distinguish the commercial banking from other bank types because the former tends to deliver lower efficiency scores.

Suggested Citation

  • Zuzana Iršová & Tomáš Havránek, 2010. "Measuring Bank Efficiency: A Meta-Regression Analysis," Prague Economic Papers, University of Economics, Prague, vol. 2010(4), pages 307-328.
  • Handle: RePEc:prg:jnlpep:v:2010:y:2010:i:4:id:379:p:307-328
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    2. Aiello, Francesco & Bonanno, Graziella, 2014. "On the Sources of Heterogeneity in Banking Efficiency Literature," MPRA Paper 58591, University Library of Munich, Germany.
    3. Jan Babecky & Philip Du Caju & Kamil Dybczak & Kamil Galuscak & Mary Keeney & Theodora Kosma & Martina Lawless & Julian Messina & Daphne Nicolitsas & Tairi Room & Frank Smets & Pawel Strzelecki & Mati, 2010. "CNB Economic Research Bulletin: Wage Adjustment in Europe," Occasional Publications - Edited Volumes, Czech National Bank, Research Department, edition 2, volume 8, number rb08/2 edited by Jan Babecky & Kamil Galuscak.
    4. Clements Adeyinka Akinsoyinu, 2015. "Efficiency Evaluation of European Financial Cooperative Sector. A Data Envelopment Analysis Approach," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(4), pages 11-21, October.
    5. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    6. Andrew Maredza and Sylvanus Ikhide, 2013. "The Impact of the Global Financial Crisis on Efficiency and Productivity of the Banking System in South Africa," Working Papers 328, Economic Research Southern Africa.
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    15. Dominika Reckova & Zuzana Irsova, 2015. "Publication Bias in Measuring Climate Sensitivity," Working Papers IES 2015/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2015.
    16. Tereza Fišerová & Petr Teplý & David Tripe, 2015. "The Performance of Foreign-Owned Banks in Host Country Economies," Prague Economic Papers, University of Economics, Prague, vol. 2015(5), pages 538-561.
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    More about this item

    Keywords

    banking; meta-analysis; frontier models; efficiency analysis;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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