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Efficiency of banks in the Third Federal Reserve District

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  • Loretta J. Mester

Abstract

In recent years banks have had to operate in an increasingly competitive environment. How banks will be affected by the increased competitive pressures depends in part on how efficiently they are run. This paper uses the stochastic econometric cost frontier approach to study efficiency at banks in the Third Federal Reserve District. The paper looks at scale efficiency - whether banks are operating with the efficient level of outputs; scope efficiency - whether banks are operating with the efficient mix of outputs; and x-efficiency - whether banks are using their inputs efficiently. The cost model differs from previous studies in that it explicitly accounts for the quality of banks' assets and the probability of failure, which influences banks' costs in a number of ways. The paper also differs from previous studies in its treatment of financial capital as an input into the production process. In addition to providing a cushion against losses, financial capital can be used to fund loans as a substitute for deposits or borrowed funds. The paper differs in a third way in reporting confidence intervals for the bank- specific measures of efficiency. There do not seem to be many cost efficiency gains made from Third District banks' changing their sizes, and these results are much like those obtained in studies using U.S. samples. The model shows that there is no evidence of either scope economies or diseconomies at the average efficient bank in the Third District, nor at banks in different size categories. While the scope measures suggest there is no cost justification for joint production, the approach leaves open the possibility of revenue benefits. Average x-inefficiency at banks in the Third District is on the order of 6 % to 9 %. In competitive markets not all of this gain would be retained by the bank - the savings would be passed on to customers - increasing overall welfare. When compared to U.S. samples, Third District banks seem to be outperforming U.S. bankers on
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Suggested Citation

  • Loretta J. Mester, 1993. "Efficiency of banks in the Third Federal Reserve District," Working Papers 94-1, Federal Reserve Bank of Philadelphia.
  • Handle: RePEc:fip:fedpwp:94-1
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    1. Loretta J. Mester, 1987. "Efficient production of financial services: scale and scope economies," Business Review, Federal Reserve Bank of Philadelphia, issue Jan, pages 15-25.
    2. Joseph P. Hughes & Loretta J. Mester, "undated". "A Quality and Risk-Adjusted Cost Function for Banks: Evidence on the "Too-Big-To-Fail" Doctrine," Rodney L. White Center for Financial Research Working Papers 25-92, Wharton School Rodney L. White Center for Financial Research.
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    Cited by:

    1. Hadi Ghafoorian & NikIntan Norhan & Mohammed Ndaliman Abubakar & Fazel Mohammadi Nodeh, 2013. "Efficiency Considering Credit Risk in Banking Industry, Using Two-stage DEA," Journal of Social and Development Sciences, AMH International, vol. 4(8), pages 356-360.
    2. José Manuel Pastor Monsálvez, 1999. "- Credit Risk And Efficiency In The European Banking Systems: A Three-Stage Analysis," Working Papers. Serie EC 1999-18, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Chris Heerden & Riaan Rossouw, 2014. "Resource utilisation Efficiency: A South African Provincial Evaluation," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 475-492, December.
    4. Maudos, Joaquin & Pastor, Jose M. & Perez, Francisco & Quesada, Javier, 2002. "Cost and profit efficiency in European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 12(1), pages 33-58, February.
    5. Mariani Abdul-Majid & David Saal & Giuliana Battisti, 2011. "The impact of Islamic banking on the cost efficiency and productivity change of Malaysian commercial banks," Applied Economics, Taylor & Francis Journals, vol. 43(16), pages 2033-2054.
    6. Alicia Fourie & Chris van Heerden & Engelina du Plessis, 2022. "Improving destination competitiveness in South Africa: A DEA approach," Tourism Economics, , vol. 28(4), pages 1080-1100, June.
    7. Robert DeYoung & Gary Whalen, 1994. "Banking Industry Consolidation: Efficiency Issues," Economics Working Paper Archive wp_110, Levy Economics Institute.
    8. Chris van Heerden & Melville Saayman, 2018. "Sustainability of a national arts festival," Tourism Economics, , vol. 24(5), pages 576-592, August.
    9. Jose Pastor, 1999. "Efficiency and risk management in Spanish banking: a method to decompose risk," Applied Financial Economics, Taylor & Francis Journals, vol. 9(4), pages 371-384.
    10. repec:ebl:ecbull:v:17:y:2005:i:9:p:1-11 is not listed on IDEAS
    11. Dwight Steward, 1998. "A note: Bootstrap standard errors and confidence intervals for weak axiom of cost minimization (WACM) based bank managerial efficiency estimates," Applied Economics Letters, Taylor & Francis Journals, vol. 5(10), pages 617-621.
    12. Haslem, John A. & Scheraga, Carl A. & Bedingfield, James P., 1999. "DEA efficiency profiles of U.S. banks operating internationally," International Review of Economics & Finance, Elsevier, vol. 8(2), pages 165-182, June.
    13. Imed Limam, 2001. "A Comparative Study of GCC Banks Technical Efficiency," Working Papers 0119, Economic Research Forum, revised 07 May 2001.
    14. Jose Pastor & Lorenzo Serrano, 2005. "Efficiency, endogenous and exogenous credit risk in the banking systems of the Euro area," Applied Financial Economics, Taylor & Francis Journals, vol. 15(9), pages 631-649.
    15. Imed Limam, "undated". "Measuring Technical Efficiency of Kuwait Banks," API-Working Paper Series 0101, Arab Planning Institute - Kuwait, Information Center.
    16. Robert DeYoung & Gary Whalen, 1999. "Banking Industry Consolidation: Efficiency Issues," Macroeconomics 9906011, University Library of Munich, Germany.
    17. Chun Liu, 2005. "Measuring the relative efficiency and reorganization-The example of CDFAs of the NAN-TOU County in Taiwan," Economics Bulletin, AccessEcon, vol. 17(9), pages 1-11.

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