IDEAS home Printed from https://ideas.repec.org/a/eme/sefpps/v29y2012i1p26-42.html
   My bibliography  Save this article

On the cross-methodological validation of bank efficiency assessments

Author

Listed:
  • Shrimal Perera
  • Michael Skully

Abstract

Purpose - 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.

Suggested Citation

  • Shrimal Perera & Michael Skully, 2012. "On the cross-methodological validation of bank efficiency assessments," Studies in Economics and Finance, Emerald Group Publishing, vol. 29(1), pages 26-42, March.
  • Handle: RePEc:eme:sefpps:v:29:y:2012:i:1:p:26-42
    as

    Download full text from publisher

    File URL: http://www.emeraldinsight.com/10.1108/10867371211203837?utm_campaign=RePEc&WT.mc_id=RePEc
    Download Restriction: Access to full text is restricted to subscribers

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shrimal Perera & Michael Skully & J. Wickramanayake, 2007. "Cost Efficiency in South Asian Banking: The Impact of Bank Size, State Ownership and Stock Exchange Listings-super-," International Review of Finance, International Review of Finance Ltd., vol. 7(1-2), pages 35-60.
    2. 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.
    3. John Ashton & Philip Hardwick, 2000. "Estimating Inefficiencies in Banking: A Survey," Journal of Interdisciplinary Economics, , vol. 11(1), pages 1-33, January.
    4. Carvallo, Oscar & Kasman, Adnan, 2005. "Cost efficiency in the Latin American and Caribbean banking systems," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(1), pages 55-72, January.
    5. Laura Cavallo & Stefania Rossi, 2002. "Do environmental variables affect the performance and technical efficiency of the European banking systems? A parametric analysis using the stochastic frontier approach," The European Journal of Finance, Taylor & Francis Journals, vol. 8(1), pages 123-146.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Gallant, A. Ronald, 1982. "Unbiased determination of production technologies," Journal of Econometrics, Elsevier, vol. 20(2), pages 285-323, November.
    11. 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 306-317, May.
    12. 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.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:sefpps:v:29:y:2012:i:1:p:26-42. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Virginia Chapman). General contact details of provider: http://www.emeraldinsight.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.