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Resolving the deposit dilemma: A new DEA bank efficiency model

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  • Holod, Dmytro
  • Lewis, Herbert F.
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    Abstract

    One of the weaknesses of current bank efficiency models is a disagreement as to the role of deposits in the bank production process. Some models view deposits as an input, while others view them as an output. Such disparity of approaches results in inconsistent efficiency estimates. In this study we propose an alternative Data Envelopment Analysis (DEA) bank efficiency model that treats deposits as an intermediate product, thus emphasizing the dual role of deposits in the bank production process. Consequently, the effect of the amount of deposits on bank efficiency depends on the efficiency at both stages of the bank production process. The main advantage of our model is that it does not require a researcher to make a judgment call as to whether having more (production approach) or less (intermediation approach) deposits is "better" for bank efficiency. Our unified framework has the potential to produce more consistent efficiency estimates.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Banking & Finance.

    Volume (Year): 35 (2011)
    Issue (Month): 11 (November)
    Pages: 2801-2810

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    Handle: RePEc:eee:jbfina:v:35:y:2011:i:11:p:2801-2810

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    Web page: http://www.elsevier.com/locate/jbf

    Related research

    Keywords: Bank efficiency DEA Financial intermediation Input-output models;

    References

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    Cited by:
    1. Carlos Sánchez-González & José Luis Sarto & Luis Vicente, 2013. "The efficiency of Spanish mutual funds companies: A slacks-based measure approach," Documentos de Trabajo dt2013-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    2. Mamatzakis, E, 2013. "Does weather affect US bank loan efficiency?," MPRA Paper 51616, University Library of Munich, Germany.
    3. Premachandra, I.M. & Zhu, Joe & Watson, John & Galagedera, Don U.A., 2012. "Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3302-3317.
    4. Piot-Lepetit, Isabelle & Nzongang, Joseph, 2014. "Financial sustainability and poverty outreach within a network of village banks in Cameroon: A multi-DEA approach," European Journal of Operational Research, Elsevier, vol. 234(1), pages 319-330.
    5. Halkos, George & Tzeremes, Nickolaos & Kourtzidis, Stavros, 2014. "Measuring the efficiency of banking systems: A relational two-stage window DEA approach," MPRA Paper 55671, University Library of Munich, Germany.
    6. Mallikarjun, Sreekanth & Lewis, Herbert F. & Sexton, Thomas R., 2014. "Operational performance of U.S. public rail transit and implications for public policy," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 74-88.
    7. Lewis, Herbert F. & Mallikarjun, Sreekanth & Sexton, Thomas R., 2013. "Unoriented two-stage DEA: The case of the oscillating intermediate products," European Journal of Operational Research, Elsevier, vol. 229(2), pages 529-539.

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