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Methodological Advances in Dea

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Author Info
Cherchye, L.
Post, G.T. (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)

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Abstract

We survey the methodological advances in DEA over the last 25 years and discuss the necessary conditions for a sound empirical application. We hope this survey will contribute to the further dissemination of DEA, the knowledge of its relative strengths and weaknesses, and the tools currently available for exploiting its full potential. Our main points are illustrated by the case of the DEA study used by the regulatory office of the Dutch electricity sector (Dienst Toezicht Elektriciteitswet; Dte) for setting price caps.

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File URL: http://hdl.handle.net/1765/115
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Publisher Info
Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2001-53-F&A Revision_Date: 2008-03-04.

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Date of creation: 21 Sep 2001
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Handle: RePEc:dgr:eureri:2001111

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Web page: http://www.erim.eur.nl/

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Related research
Keywords: data envelopment analysis (DEA) efficiency and productivity analysis methodological advances electricity distribution

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107. [Downloadable!] (restricted)
  2. Laurens Cherchye & Timo Kuosmanen & Thierry Post, 2001. "Nonparametric Production Analysis under Alternative Price Conditions," Public Economics Working Paper Series ces0105, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics. [Downloadable!]
  3. Antonovitz, Frances & Roe, Terry, 1986. "A Theoretical and Empirical Approach to the Value of Information in Risky Markets," The Review of Economics and Statistics, MIT Press, vol. 68(1), pages 105-14, February. [Downloadable!] (restricted)
  4. Elie Appelbaum & Aman Ullah, 1997. "Estimation Of Moments And Production Decisions Under Uncertainty," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 631-637, November. [Downloadable!] (restricted)
  5. Kneip, Alois & Park, Byeong U. & Simar, L opold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(06), pages 783-793, December. [Downloadable!]
  6. Simar, L. & Wilson, P.W., 1995. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Non-parametric Frontier Models," Papers 9543a, Catholique de Louvain - Center for Operations Research and Economics.
  7. Appelbaum, Elie, 1982. "The estimation of the degree of oligopoly power," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 287-299, August. [Downloadable!] (restricted)
  8. Eric J. Bartelsman & Mark Doms, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September. [Downloadable!] (restricted)
    Other versions:
  9. Post, Thierry, 2001. "Transconcave data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 132(2), pages 374-389, July. [Downloadable!] (restricted)
  10. Moschini, GianCarlo, 2001. "Production risk and the estimation of ex-ante cost functions," Journal of Econometrics, Elsevier, vol. 100(2), pages 357-380, February. [Downloadable!] (restricted)
    Other versions:
  11. Sandmo, Agnar, 1971. "On the Theory of the Competitive Firm under Price Uncertainty," American Economic Review, American Economic Association, vol. 61(1), pages 65-73, March. [Downloadable!] (restricted)
  12. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November. [Downloadable!] (restricted)
  13. Appelbaum, E., 1989. "Uncertainty And The Measurement Of Productivity," Papers 89-05, York (Canada) - Department of Economics.
  14. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38. [Downloadable!] (restricted)
  15. M. J. Farrell, 1959. "The Convexity Assumption in the Theory of Competitive Markets," Journal of Political Economy, University of Chicago Press, vol. 67, pages 377. [Downloadable!] (restricted)
  16. Fare, Rolf & Grosskopf, Shawna & Lovell, C A Knox, 1983. " The Structure of Technical Efficiency," Scandinavian Journal of Economics, Blackwell Publishing, vol. 85(2), pages 181-90.
  17. Chang, Kuo-Ping, 1999. "Measuring efficiency with quasiconcave production frontiers," European Journal of Operational Research, Elsevier, vol. 115(3), pages 497-506, June. [Downloadable!] (restricted)
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