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A Comparison of Nonparametric Methods to Measure Efficiency in the Savings and Loan Industry

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  • Richard F. Garbaccio
  • Benjamin E. Hermalin
  • Nancy E. Wallace

Abstract

Using data on 1,360 savings and loan (S&L) institutions, we compare two non‐parametric methods for measuring efficiency: data envelopment analysis (DEA) and algebraic methods based on Varian (1984). We show that both methods are vulnerable to measurement error, although both theoretically and empirically we find the Varian‐style measures to be less vulnerable. Because we have data on the future insolvency of our S&Ls, we can directly compare the two methods by seeing which does a better job of predicting insolvency (working under the hypothesis that efficiency and insolvency should be negatively correlated). We find that various measures perform very similarly, except for the technical efficiency measure in DEA. Importantly, this last measure frequently yields the implausible result that efficiency and insolvency are positively correlated, possibly because it does not account for factor prices.

Suggested Citation

  • Richard F. Garbaccio & Benjamin E. Hermalin & Nancy E. Wallace, 1994. "A Comparison of Nonparametric Methods to Measure Efficiency in the Savings and Loan Industry," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 22(1), pages 169-193, March.
    • Handle: RePEc:bla:reesec:v:22:y:1994:i:1:p:169-193
    DOI: 10.1111/1540-6229.00631
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    Cited by:

    1. Andrew C. Worthington, 2010. "Frontier Efficiency Measurement In Deposit‐Taking Financial Mutuals: A Review Of Techniques, Applications, And Future Research Directions," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 81(1), pages 39-75, March.
    2. Kristiaan Kerstens & Ignace Van de Woestyne, 2021. "Cost functions are nonconvex in the outputs when the technology is nonconvex: convexification is not harmless," Annals of Operations Research, Springer, vol. 305(1), pages 81-106, October.
    3. Haleh Delnava & Kristiaan Kerstens & Timo Kuosmanen & Zhiyang Shen, 2024. "Semi-parametric Estimation of Convex and Nonconvex By-Production Technologies," Working Papers 2024-EQM-02, IESEG School of Management.
    4. Malcolm Abbott & Su Wu & Wei Wang, 2013. "The productivity and performance of Australia’s major banks since deregulation," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(1), pages 122-135, January.
    5. Stiroh, Kevin J., 1997. "The evolution of an industry: US thrifts in the 1990s," Journal of Banking & Finance, Elsevier, vol. 21(10), pages 1375-1394, October.
    6. Heffernan, Shelagh, 2005. "The effect of UK building society conversion on pricing behaviour," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 779-797, March.

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