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Metafrontier frameworks for the study of firm-level efficiencies and technology ratios

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  • Christopher O’Donnell

    ()

  • D. Rao
  • George Battese

Abstract

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File URL: http://hdl.handle.net/10.1007/s00181-007-0119-4
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Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 34 (2008)
Issue (Month): 2 (March)
Pages: 231-255

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Handle: RePEc:spr:empeco:v:34:y:2008:i:2:p:231-255

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Related research

Keywords: Stochastic frontier analysis; Data envelopment analysis; Technical efficiency;

References

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  1. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
  2. C.J. O'Donnell & W.E. Griffiths, 2004. "Estimating State-Contingent Production Frontiers," Department of Economics - Working Papers Series 911, The University of Melbourne.
  3. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
  4. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
  5. Knox Lovell, C. A. & Pastor, Jesus T., 1997. "Target setting: An application to a bank branch network," European Journal of Operational Research, Elsevier, vol. 98(2), pages 290-299, April.
  6. Luenberger, David G., 1992. "Benefit functions and duality," Journal of Mathematical Economics, Elsevier, vol. 21(5), pages 461-481.
  7. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
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