Acta Univ. Agric. Silvic. Mendelianae Brun. 2017, 65, 1371-1382
Published online 2017-09-01

The Super‑efficiency Model and its Use for Ranking and Identification of Outliers

Kristína Kočišová1, Iveta Palečková2

1Technical University of Košice, Faculty of Economics, Nemcovej 32, 040 01 Košice, Slovak Republic
2Silesian University, School of Business Administration, Univerzitní náměstí 1934/3, 733 40 Karviná, Czech Republic


1. AHN, H. and LE, M. H. 2014. An insight into the specification of the input‑output set for DEA‑based bank efficiency measurement. Management Review Quarterly, 64(1): 3–37. <>
2. BANKER, R. D. and CHANG, H. 2006. The super‑efficiency procedure for outlier identification, not for ranking efficient units. European Journal of Operational Research, 175(2): 1311–1320. <>
3. BENSTON, G. 1965. Branch banking and economies of scale. Journal of Finance, 20(2): 312–331. <>
4. BANKER, R. D. and GIFFORD, J. L. 1988. A relative efficiency model for the evaluation of public health nurse productivity. Carnegie: Mellon University Mimeo.
5. BERGER, A. N. and HUMPHREY, D. 1997. Efficiency of financial institutions: international survey and directions for future research. European Journal of Operational Research, 98(2): 175–212. <>
6. BERGER, A. N. and MESTER, L. 2003. Explaining the dramatic changes in performance of US banks: technological change, deregulation, and dynamic changes in competition. Journal of Financial Intermediation, 12(1): 57–95. <>
7. BOĎA, M. and ZIMKOVÁ, E. 2015. Efficieny in the Slovak banking industry: a comparison of three approaches. Prague Economic Papers, 24(4): 434–451. <>
8. BOGETOFT, P. and OTTO, L. 2011. Benchmarking with DEA, SFA, and R. New York: Springer.
9. COOPER, W., SEIFORD, L. M. and TONE, K. 2007. Data Envelopment Analysis: A comprehensive text with models applications. New York: Springer Science.
10. CESIFO. ©2014. Database for Institutional Comparisons in Europe. Business and Financial Markets. [Online]. Available at: [Accessed: 2016, July 11.].
11. IRŠOVÁ, Z. and HAVRÁNEK, T. 2011. Bank efficiency in transitional countries: Sensitivity to stochastic frontier design. Transition Studies Review, 18(2): 230–270. <>
12. KASEM, E. et al. 2015. Key sustainability performance indicator analysis for Czech breweries. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunesis, 63(6): 1937–1944. <>
13. KOČIŠOVÁ, K. 2014. Application of Data Envelopment Analysis to measure cost, revenue and profit efficiency. Statistika, 94(3): 47–57.
14. MISHKIN, F. S. 2009. The Economics of Money, Banking, and Financial Markets. USA: Pearson education.
15. MYŠKOVÁ, K. and ŽÁK, J. 2016. Data Envelopment Analysis for technological, environmental and economic analysis of motorway underpasses. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunesis, 64(1): 307–314. <>
16. PALEČKOVÁ, I. 2015. Estimation of the efficiency of Slovak commercial banks by the Data Envelopment Analysis [In Czech: Odhad efektivnosti slovenských komerčních bank použitím Data Envelopment Analysis]. Acta Academica Karvinensia, 2015(1): 130–140.
17. PANČUROVÁ, D. and LYÓCSA, Š. 2013. Determinants of commercial bank’s efficiency: Evidence from 11 CEE countries. Finance a úvěr: Czech Journal of Economics and Finance, 63(2): 152–179.
18. POLOUČEK, S. et al. 2004. Reforming the financial sector in Central European countries. Hampshire: Palgrave Macmillan Publishers.
19. SEALEY, C. W. and LINDLEY, J. T. 1977. Inputs, outputs, and a theory of production and cost at depository financial institutions. The Journal of Finance, 32(4): 1251–1266. <>
20. SENDEK, S., SVITÁLKOVÁ, Z. and ANGELOVIČOVÁ, K. 2015. Efficiency evaluation of hospitals in the environment of the Czech and Slovak Republic. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunesis, 63(6): 2109–2118. <>
21. SHERMAN, H. D. and GOLD, F. 1985. Bank branch operating efficiency: Evaluation with Data Envelopment Analysis. Journal of Banking and Finance, 9(2): 297–315. <>
22. STAVÁREK, D. 2005. Restructuring of the banking sectors and bank efficiency in Visegrad countries [In Czech: Restrukturalizace bankovních sektorů a efektivnost bank v zemích Visegrádské skupiny]. Karviná: Silesian University, School of Business Administration.
23. STAVÁREK, D. and ŘEPKOVÁ, I. 2012. Efficiency in the Czech banking industry: A non-parametric approach. Acta Universitatis Agriculturae et Silviculturae Mendeleianae Brunensis, 60(2): 357–366. <>
24. STEFKO, R., GAVUROVÁ, B. and KORÓNY, S. 2016. Efficiency measurement in healthcare work management using Malmquist indices. Polish Journal of Management Studies, 3(1): 168–180. <>
25. SVITALKOVA, Z. 2014. Comparison and evaluation of bank efficiency in selected countries in EU. Procedia Economics and Finance, 12: 644–653. <>
26. TIMMER, C.P. 1971. Using a probabilistic frontier production function to measure technical efficiency. Journal of Political Economy, 79(4): 776–794. <>
27. VAVŘINA, J., HAMPEL, D. and JANOVÁ, J. 2013. New approaches for the financial distress classification in agribusiness. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunesis, 61(4): 1177–1182. <>
28. ZIMKOVÁ, E. 2014. Technical efficiency and super-efficiency of the banking sector in Slovakia. Procedia Economics and Finance, 12: 780–787. <>
29. ZIMKOVÁ, E. 2015. Technical efficiency and super-efficiency of the insurance sector in Slovakia. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunesis, 63(6): 2205–2211. <>
front cover

ISSN 1211-8516 (Print)

ISSN 2464-8310 (Online)

Current issue

Review Management System NEW Indexed in DOAJ