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Evaluating cost and profit efficiency: a comparison of parametric and nonparametric methodologies

  • Manthos Delis
  • Anastasia Koutsomanoli-Fillipaki
  • Christos Staikouras
  • Gerogiannaki Katerina

The objective of this article is 2-fold. First, it provides an empirical assessment of the cost and profit stochastic frontiers based on a panel dataset of Greek commercial banks over the period 1993 to 2005. Second, on the basis of the same sample, it also compares the most widely used parametric and nonparametric techniques to cost efficiency measurement, namely, the Stochastic Frontier Approach and Data Envelopment Analysis. The results suggest greater similarities between the predictions of cost and profit efficiency methods than between parametric and nonparametric techniques. Such evidence is new in the literature and calls for a more technically level playing field for estimating bank efficiency.

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Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

Volume (Year): 19 (2009)
Issue (Month): 3 ()
Pages: 191-202

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Handle: RePEc:taf:apfiec:v:19:y:2009:i:3:p:191-202
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  1. Berger, Allen N. & Hancock, Diana & Humphrey, David B., 1993. "Bank efficiency derived from the profit function," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 317-347, April.
  2. Brissimis, Sophocles N. & Delis, Manthos D. & Tsionas, Efthymios G., 2010. "Technical and allocative efficiency in European banking," European Journal of Operational Research, Elsevier, vol. 204(1), pages 153-163, July.
  3. Hondroyiannis, George & Lolos, Sarantis & Papapetrou, Evangelia, 1999. "Assessing competitive conditions in the Greek banking system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 377-391, November.
  4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  5. Eichengreen, Barry & Gibson, Heather D, 2001. "Greek Banking at the Dawn of the New Millennium," CEPR Discussion Papers 2791, C.E.P.R. Discussion Papers.
  6. Vivas, Ana Lozano, 1997. "Profit efficiency for Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 381-394, April.
  7. Allen N. Berger & Loretta J. Mester, 1997. "Inside the Black Box: What Explains Differences in the Efficiencies of Financial Institutions?," Center for Financial Institutions Working Papers 97-04, Wharton School Center for Financial Institutions, University of Pennsylvania.
  8. Allen N. Berger & David B. Humphrey, 1990. "The dominance of inefficiencies over scale and product mix economies in banking," Finance and Economics Discussion Series 107, Board of Governors of the Federal Reserve System (U.S.).
  9. Maudos, Joaquin & Pastor, Jose M. & Perez, Francisco & Quesada, Javier, 2002. "Cost and profit efficiency in European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(1), pages 33-58, February.
  10. Paul W. Bauer & Allen N. Berger & Gary D. Ferrier & David B. Humphrey, 1997. "Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods," Finance and Economics Discussion Series 1997-50, Board of Governors of the Federal Reserve System (U.S.).
  11. Robert A. Eisenbeis & Gary D. Ferrier & Simon H. Kwan, 1999. "The informativeness of stochastic frontier and programming frontier efficiency scores: Cost efficiency and other measures of bank holding company performance," Working Paper 99-23, Federal Reserve Bank of Atlanta.
  12. Allen N. Berger & David B. Humphrey, 1997. "Efficiency of Financial Institutions: International Survey and Directions for Future Research," Center for Financial Institutions Working Papers 97-05, Wharton School Center for Financial Institutions, University of Pennsylvania.
  13. Nicos C. Kamberoglou & Elias Liapis & George T. Simigiannis & Panagiota Tzamourani, 2004. "Cost Efficiency in Greek Banking," Working Papers 09, Bank of Greece.
  14. Hasan, Iftekhar & Marton, Katherin, 2000. "Development and Efficiency of the Banking Sector in a Transitional Economy: Hungarian Experience," BOFIT Discussion Papers 7/2000, Bank of Finland, Institute for Economies in Transition.
  15. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
  16. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
  17. 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.
  18. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
  19. Resti, Andrea, 1997. "Evaluating the cost-efficiency of the Italian Banking System: What can be learned from the joint application of parametric and non-parametric techniques," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 221-250, February.
  20. Huang, Tai-Hsin & Wang, Mei-Hui, 2002. "Comparison of Economic Efficiency Estimation Methods: Parametric and Non-parametric Techniques," Manchester School, University of Manchester, vol. 70(5), pages 682-709, September.
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