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Input inefficiency in commercial banks: a normalized quadratic input distance approach

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  • Allen M. Featherstone
  • Thomas A. Garrett
  • Thomas L. Marsh

Abstract

A normalized quadratic input distance function is proposed with which to estimate technical efficiency on commercial banks regulated by the Federal Reserve System. The study period covers 1990 to 2000 using individual bank information from the Call and Banking Holding Company Database. A stochastic frontier model is specified to estimate the input normalized distance function and obtain measures of technical efficiency.

Suggested Citation

  • Allen M. Featherstone & Thomas A. Garrett & Thomas L. Marsh, 2003. "Input inefficiency in commercial banks: a normalized quadratic input distance approach," Working Papers 2003-036, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:2003-036
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    Cited by:

    1. Subal Kumbhakar & Dan Wang, 2007. "Economic reforms, efficiency and productivity in Chinese banking," Journal of Regulatory Economics, Springer, vol. 32(2), pages 105-129, October.
    2. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    3. Richards, Timothy J. & Acharya, Ram N. & Kagan, Albert, 2008. "Spatial competition and market power in banking," Journal of Economics and Business, Elsevier, vol. 60(5), pages 436-454.
    4. A. Wondemu Kifle, 2016. "Working Paper 237 - Decomposing Sources of Productivity Change in Small-Scale Farming in Ethiopia," Working Paper Series 2332, African Development Bank.
    5. Kozo Harimaya & Kei Tomimura & Nobuyoshi Yamori, 2015. "Efficiencies of Small Financial Cooperatives in Japan: Comparison of Estimation Methods," Discussion Paper Series DP2015-04, Research Institute for Economics & Business Administration, Kobe University.
    6. Yamori, Nobuyoshi & Harimaya, Kozo & Tomimura, Kei, 2017. "The efficiency of Japanese financial cooperatives: An application of parametric distance functions," Journal of Economics and Business, Elsevier, vol. 94(C), pages 43-53.
    7. Yamori, Nobuyoshi & Harimaya, Kozo, 2010. "Efficiency in the Japanese trust banking industry: A stochastic distance function approach," MPRA Paper 21381, University Library of Munich, Germany.

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