On the cross-methodological validation of bank efficiency assessments
AbstractPurpose – Since there is no agreement on the consistency of their estimates, the purpose of this paper is to investigate whether parametric stochastic frontier analysis (SFA) and nonparametric data envelopment analysis (DEA) generate consistent bank efficiency assessments. Design/methodology/approach – The authors utilize four alternative efficiency computation models: two DEA technical efficiency models based on constant and variable returns to scale, and two SFA cost efficiency models employing Translog and Fourier functional specifications. An unbalanced panel of 59 Indian banks over 1990-2007 is employed as a model, developing country, banking market. Findings – The Translog and Fourier specifications in SFA and the constant and variable returns to scale assumptions in DEA are found to rank and identify “best-practice” and “worst-practice” approximately in the same order. The association between DEA efficiency estimates and non-frontier standard performance measures, however, is mixed and inconclusive. Unlike DEA scores, SFA efficiency assessments were found to be consistent with cost and profit ratios and hence are “believable”. Practical implications – For regulators and bankers alike, the authors' findings highlight the importance of investigating the consistency of efficiency scores across various research methods. They should ensure that frontier-based efficiency assessments are not simply “artificial constructs” of models' assumptions/specifications. Originality/value – This paper extends the existing literature by checking jointly the statistical consistency of both DEA technical efficiency scores and SFA cost efficiency scores. The prior studies focus either on technical efficiency or cost efficiency, but not both. Moreover, as far as the authors are aware, this is the first cross-methodological validation study to focus on bank efficiency in the context of a developing country banking market.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Emerald Group Publishing in its journal Studies in Economics and Finance.
Volume (Year): 29 (2012)
Issue (Month): 1 (March)
Contact details of provider:
Web page: http://www.emeraldinsight.com
Postal: Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Tulkens, H. & Vanden Eeckaut, P., .
"Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects,"
CORE Discussion Papers RP
-1132, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Tulkens, Henry & Vanden Eeckaut, Philippe, 1995. "Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects," European Journal of Operational Research, Elsevier, vol. 80(3), pages 474-499, February.
- TULKENS, Henry & VANDEN EECKAUT, Philippe, 1993. "Non-Parametric Efficiency, Progress and Regress Measures for Panel Data : Methodological Aspects," CORE Discussion Papers 1993016, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Berger, Allen N. & Humphrey, David B., 1997.
"Efficiency of financial institutions: International survey and directions for future research,"
European Journal of Operational Research,
Elsevier, vol. 98(2), pages 175-212, April.
- Allen N. Berger & David B. Humphrey, 1997. "Efficiency of financial institutions: international survey and directions for future research," Finance and Economics Discussion Series 1997-11, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Thanassoulis, E. & Boussofiane, A. & Dyson, R. G., 1996. "A comparison of data envelopment analysis and ratio analysis as tools for performance assessment," Omega, Elsevier, vol. 24(3), pages 229-244, June.
- Das, Abhiman & Ghosh, Saibal, 2006. "Financial deregulation and efficiency: An empirical analysis of Indian banks during the post reform period," Review of Financial Economics, Elsevier, vol. 15(3), pages 193-221.
- Gallant, A. Ronald, 1982. "Unbiased determination of production technologies," Journal of Econometrics, Elsevier, vol. 20(2), pages 285-323, November.
- Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
- Altunbas, Yener & Liu, Ming-Hau & Molyneux, Philip & Seth, Rama, 2000. "Efficiency and risk in Japanese banking," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1605-1628, October.
- Leamer, Edward E & Leonard, Herman B, 1983. "Reporting the Fragility of Regression Estimates," The Review of Economics and Statistics, MIT Press, vol. 65(2), pages 306-17, May.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Louise Lister).
If references are entirely missing, you can add them using this form.