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Revenue efficiency: a distributional analysis in the European banking

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  • Kristína Kočišová
  • Peter Šugerek

Abstract

This paper uses data envelopment analysis (DEA) to compare efficiency estimated according to the traditional revenue model presented by Farrell (1957) and a new revenue model presented by Tone (2002). First, we estimated the revenue efficiency of 114 European banks during the period from 2010 to 2018. The results showed that the average traditional revenue efficiency ranged from 35.74% to 38.85%, and average new revenue efficiency ranged from 37.82% to 54.99%. The results of the analysis showed that banks located in Northern Europe and large banks seem to be most efficient. After the estimation of efficiencies, the nonparametric test for equality of densities was used to test whether two given distributions, estimated nonparametrically via kernel smoothing, differ statistically in terms of the size and geo-scheme for Europe. Based on the results of distribution hypothesis tests, we could confirm our research questions that depended on size, location and applied methodology.

Suggested Citation

  • Kristína Kočišová & Peter Šugerek, 2021. "Revenue efficiency: a distributional analysis in the European banking," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 14(1), pages 3-22.
    • Handle: RePEc:ids:ijmefi:v:14:y:2021:i:1:p:3-22
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    References listed on IDEAS

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    1. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    2. Simeon Papadopoulos, 2010. "New evidence on banking efficiency in Europe," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 3(3), pages 280-299.
    3. Tomas Havranek & Zuzana Irsova, 2013. "Determinants of Bank Performance in Transition Countries: A Data Envelopment Analysis," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 20(1), pages 1-17, April.
    4. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.
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