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Radial and Nonradial Technical Efficiency Measures on DEA Reference Technology : A Comparison Using US Banking Data

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Author Info

  • Gary D. FERRIER

    (University of Arkansas)

  • Kristiaan KERSTENS

    (Katholieke Universiteit Brussel)

  • Philippe VANDEN EECKAUT

    (Université Catholique de Louvain)

Abstract

Technical efficiency measure can be classified as either radial or nonradial. While the theoretical question of which is the better type of measure is unresolved, the radial measures enjoy much greater popularity than the nonradial measures in the empirical literature. To assess the impact of choice of measure, this paper offers an empirical comparison of one radial and three nonradial measures of technical efficiency, relative to a variable returns to scale DEA model with strong disposability. The distributions and ranking of these efficiency scores are examined for a sample of US banks.

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Bibliographic Info

Paper provided by Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) in its series Discussion Papers (REL - Recherches Economiques de Louvain) with number 1994043.

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Length: 30
Date of creation: 01 Dec 1994
Date of revision:
Handle: RePEc:ctl:louvre:1994043

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Cited by:
  1. Laurens Cherchye & Tom Van Puyenbroeck, 2002. "Profit Efficiency Analysis Under Limited Information. With an Application to German Farm Types," Public Economics Working Paper Series ces0202, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
  2. Paul W. Bauer & Allen N. Berger & Gary D. Ferrier & David B. Humphrey, 1997. "Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods," Financial Services working paper 97-02, Federal Reserve Bank of Cleveland.
  3. Kerstens, Kristiaan & Mounir, Amine & Van de Woestyne, Ignace, 2011. "Geometric representation of the mean-variance-skewness portfolio frontier based upon the shortage function," European Journal of Operational Research, Elsevier, vol. 210(1), pages 81-94, April.
  4. McKillop, D. G. & Glass, J. C. & Ferguson, C., 2002. "Investigating the cost performance of UK credit unions using radial and non-radial efficiency measures," Journal of Banking & Finance, Elsevier, vol. 26(8), pages 1563-1591, August.
  5. Laurens Cherchye & Tom Van Puyenbroeck, 1999. "A Shadow Price Approach to Technical Efficiency Measurement," Public Economics Working Paper Series ces9924, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
  6. Dervaux, Benoît & Kerstens, Kristiaan & Vanden Eeckaut, Philippe, 1998. "Radial and nonradial static efficiency decompositions: a focus on congestion measurement," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 299-312, June.
  7. Allen N. Berger & David B. Humphrey, 1997. "Efficiency of Financial Institutions: International Survey and Directions for Future Research," Center for Financial Institutions Working Papers 97-05, Wharton School Center for Financial Institutions, University of Pennsylvania.
  8. Pastor, J. T. & Ruiz, J. L. & Sirvent, I., 1999. "An enhanced DEA Russell graph efficiency measure," European Journal of Operational Research, Elsevier, vol. 115(3), pages 596-607, June.
  9. Borger, Bruno De & Ferrier, Gary D. & Kerstens, Kristiaan, 1998. "The choice of a technical efficiency measure on the free disposal hull reference technology: A comparison using US banking data," European Journal of Operational Research, Elsevier, vol. 105(3), pages 427-446, March.
  10. Athanassopoulos, Antreas D., 1997. "Service quality and operating efficiency synergies for management control in the provision of financial services: Evidence from Greek bank branches," European Journal of Operational Research, Elsevier, vol. 98(2), pages 300-313, April.
  11. Athanassopoulos, Antreas D., 1996. "Assessing the comparative spatial disadvantage (CSD) of regions in the European Union using non-radial data envelopment analysis methods," European Journal of Operational Research, Elsevier, vol. 94(3), pages 439-452, November.
  12. KERSTENS , Kristiaan & VANDEN EECKAUT, Philippe, 1998. "Distinguishing technical and scale efficiency on non-convex and convex technologies: theoretical analysis and empirical illustrations," CORE Discussion Papers 1998055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  13. Thompson, Russell G. & Brinkmann, Emile J. & Dharmapala, P. S. & Gonzalez-Lima, M. D. & Thrall, Robert M., 1997. "DEA/AR profit ratios and sensitivity of 100 large U.S. banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 213-229, April.

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