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Consistencia de medidas de eficiencia basadas en funciones de distancia paramétricas y no paramétricas: una aplicación al sector de distribuidoras de electricidad en la Argentina
[Consistency of efficiency measures based on parametric and non-parametric distance functions: An application to electricty distribution in Argentina]

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Author Info

  • Loza, Andrés
  • Margaretic, Paula
  • Romero, Carlos

Abstract

This paper estimates the technical efficiency of a set of Argentinean firms in the electric distribution sector for the period 1994-2001. The efficiency measurement involves the application of two methods: one non-parametric and the other parametric. The first one is DEA and the second one is the distance functions. Additionally, we focus on the construction of the efficient frontier for both methods. We present the consistency conditions for both methodologies in order to test weather both of them tend to give the same answer to the question of the efficiency measurement of the firms in the sample.

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File URL: http://mpra.ub.uni-muenchen.de/15269/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 15269.

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Date of creation: Dec 2003
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Handle: RePEc:pra:mprapa:15269

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Related research

Keywords: distance functions; DEA; efficiency; electricty distribution;

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References

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  1. Kumbhakar, Subal C. & Hjalmarsson, Lennart, 1998. "Relative performance of public and private ownership under yardstick competition: electricity retail distribution," European Economic Review, Elsevier, vol. 42(1), pages 97-122, January.
  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," Finance and Economics Discussion Series 1997-50, Board of Governors of the Federal Reserve System (U.S.).
  3. 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.
  4. Rodríguez Pardina, Martín A. & Rossi, Martín, 2000. "Technical Change and Catching-up: The Electricity Distribution Sector in South America," UADE Working Papers 11_2000, Instituto de Economía, Universidad Argentina de la Empresa.
  5. Weyman-Jones, Thomas G., 1991. "Productive efficiency in a regulated industry : The area electricity boards of England and Wales," Energy Economics, Elsevier, vol. 13(2), pages 116-122, April.
  6. 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.
  7. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
  8. Burns, Philip & Weyman-Jones, Thomas G, 1996. "Cost Functions and Cost Efficiency in Electricity Distribution: A Stochastic Frontier Approach," Bulletin of Economic Research, Wiley Blackwell, vol. 48(1), pages 41-64, January.
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Cited by:
  1. Mauricio, Canziani, 2008. "Privatizaciones ¿sinónimo de eficiencia económica?: Reflexiones sobre el caso argentino
    [Privatizations are synonymous with economic efficiency?: Reflection on the argentine case]
    ," MPRA Paper 17325, University Library of Munich, Germany.

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