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Non Parametric Efficiency Measurement

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  • Bruce Hollingsworth

Abstract

Efficiency measurement using non parametric methods is increasing rapidly. One important initial step in measuring efficiency is deciding which software package to make use of. Here Data Envelopment Analysis (DEA) efficiency packages are reviewed, including those which undertake Malmquist productivity analysis. While most packages are commercially available, the one which is not a commercial product has an obvious initial advantage. Copyright 2004 Royal Economic Society.

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Bibliographic Info

Article provided by Royal Economic Society in its journal The Economic Journal.

Volume (Year): 114 (2004)
Issue (Month): 496 (06)
Pages: F307-F311

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Handle: RePEc:ecj:econjl:v:114:y:2004:i:496:p:f307-f311

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Cited by:
  1. Bruce Hollingsworth & Andrew Street, 2006. "The market for efficiency analysis of health care organisations," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1055-1059.
  2. Sergey Anokhin & Joakim Wincent & Erkko Autio, 2011. "Operationalizing opportunities in entrepreneurship research: use of data envelopment analysis," Small Business Economics, Springer, vol. 37(1), pages 39-57, July.
  3. M. Del Gatto & A. Di Liberto & C. Petraglia, 2008. "Measuring Productivity," Working Paper CRENoS 200818, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  4. Dimara, Efthalia & Skuras, Dimitris & Tsekouras, Kostas & Tzelepis, Dimitris, 2008. "Productive efficiency and firm exit in the food sector," Food Policy, Elsevier, vol. 33(2), pages 185-196, April.
  5. W. Diewert & Kevin Fox, 2010. "Malmquist and Törnqvist productivity indexes: returns to scale and technical progress with imperfect competition," Journal of Economics, Springer, vol. 101(1), pages 73-95, September.
  6. Ngo, Dang Thanh, 2010. "Evaluating the Efficiency of Vietnamese Banking System: An Application Using Data Envelopment Analysis," MPRA Paper 27882, University Library of Munich, Germany.

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