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Analýza efektívnosti slovenských bánk využitím Stochastic Frontier Approach
[Analysis of Efficiency of Slovak Banks Using Stochastic Frontier Approach]

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  • Stavarek, Daniel
  • Šulganová, Jana

Abstract

This paper aims to estimate efficiency of the Slovak commercial banks in the period 2001-2005. The paper uses data obtained from annual reports of 13 Slovak banking institutions. For the practical estimation we applied the parametric Stochastic Frontier Approach and Cobb-Douglas production function. The results suggest that the initial hypothesis was confirmed as the average efficiency increased. This is also evident in results of individual banks as 11 banks recorded increase in efficiency. The results point out a better ability of Slovak banks to use the inputs in the production process.

Suggested Citation

  • Stavarek, Daniel & Šulganová, Jana, 2009. "Analýza efektívnosti slovenských bánk využitím Stochastic Frontier Approach [Analysis of Efficiency of Slovak Banks Using Stochastic Frontier Approach]," MPRA Paper 16020, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:16020
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    File URL: https://mpra.ub.uni-muenchen.de/16020/1/MPRA_paper_16020.pdf
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    References listed on IDEAS

    as
    1. Laurent Weill, 2003. "Banking efficiency in transition economies," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 11(3), pages 569-592, September.
    2. Claudia Girardone & Philip Molyneux & Edward Gardener, 2004. "Analysing the determinants of bank efficiency: the case of Italian banks," Applied Economics, Taylor & Francis Journals, vol. 36(3), pages 215-227.
    3. Sherman, H. David & Gold, Franklin, 1985. "Bank branch operating efficiency : Evaluation with Data Envelopment Analysis," Journal of Banking & Finance, Elsevier, vol. 9(2), pages 297-315, June.
    4. Bonin, John P. & Hasan, Iftekhar & Wachtel, Paul, 2005. "Bank performance, efficiency and ownership in transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 31-53, January.
    5. Christopoulos, Dimitris K. & Lolos, Sarantis E. G. & Tsionas, Efthymios G., 2002. "Efficiency of the Greek banking system in view of the EMU: a heteroscedastic stochastic frontier approach," Journal of Policy Modeling, Elsevier, vol. 24(9), pages 813-829, December.
    6. Kraft, Evan & Tirtiroglu, Dogan, 1998. "Bank Efficiency in Croatia: A Stochastic-Frontier Analysis," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 282-300, June.
    7. David Green & Karl Petrick (ed.), 2002. "Banking and Financial Stability in Central Europe," Books, Edward Elgar Publishing, number 2176.
    8. repec:zbw:bofitp:2000_007 is not listed on IDEAS
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    10. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    11. Fries, Steven & Taci, Anita, 2005. "Cost efficiency of banks in transition: Evidence from 289 banks in 15 post-communist countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 55-81, January.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Iveta Palečková, 2015. "Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 2085-2091.
    2. Anna Krizanova & George Lăzăroiu & Lubica Gajanova & Jana Kliestikova & Margareta Nadanyiova & Dominika Moravcikova, 2019. "The Effectiveness of Marketing Communication and Importance of Its Evaluation in an Online Environment," Sustainability, MDPI, vol. 11(24), pages 1-19, December.

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    More about this item

    Keywords

    Efficiency; Stochastic Frontier Approach; banks; Slovak Republic;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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