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Eficiencia y Productividad en Distribuidoras Eléctricas: Repaso de la Metodología y Aplicación

Listed author(s):
  • Canay, Iván

    (Universidad Argntina de la Empresa)

Registered author(s):

    En este trabajo se discute la aplicación de las fronteras de eficiencia y se describe el método econométrico para estimar las mismas. Dentro de los aspectos tratados, se detallan los dos métodos de estimación econométrica posibles: Mínimos Cuadrados Clásicos Modificados (MOLS) y Máxima Verosimilitud (ML); intentado identificar las ventajas relativas de cada método. A su vez, se muestra como la heteroscedasticidad sobre cada una de las componentes aleatorias puede afectar de forma distinta a la medida de eficiencia y a cada método de estimación. Todas estas herramientas son finalmente utilizadas para realizar una comparación internacional de empresas distribuidoras de energía eléctrica.

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    File URL: http://www.uade.edu.ar/DocsDownload/Publicaciones/4_226_1586_STD035a_2001.pdf
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    Paper provided by Instituto de Economía, Universidad Argentina de la Empresa in its series UADE Textos de Discusión with number 35_2002.

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    Length: 35 pages
    Date of creation: 01 Feb 2002
    Handle: RePEc:ris:uadetd:2002_035
    Contact details of provider: Web page: http://www.uade.edu.ar/paginas/InstEconomiaIDE.aspx

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    1. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    2. Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February.
    3. Rossi, Martín & Canay, Iván, 2001. "Measuring Inefficiency in Public Utilities: Does the Distribution Matter?," UADE Working Papers 12_2001, Instituto de Economía, Universidad Argentina de la Empresa.
    4. Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M., 1980. "A Monte Carlo study of estimators of stochastic frontier production functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 67-82, May.
    5. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
    6. Andrei Shleifer, 1985. "A Theory of Yardstick Competition," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 319-327, Autumn.
    7. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    8. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    9. Benitez, Daniel A. & Estache, Antonio & Kennet, D. Mark & Ruzzier, Christian A., 2000. "Potential Role of Economic Cost Models in the Regulation of Telecommunications in Developing Countries," UADE Working Papers 10_2000, Instituto de Economía, Universidad Argentina de la Empresa.
    10. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1989. "Production Frontiers With Cross-Sectinal And Time-Series Variation In Efficiency Levels," Working Papers 89-18, C.V. Starr Center for Applied Economics, New York University.
    11. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    12. Rossi, Martín, 2000. "Midiendo el valor social de la calidad de los servicios públicos: el agua," UADE Textos de Discusión 20_2000, Instituto de Economía, Universidad Argentina de la Empresa.
    13. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    14. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    15. Quesada, Lucía, 2001. "Network Competition and Network Regulation," UADE Working Papers 13_2001, Instituto de Economía, Universidad Argentina de la Empresa.
    16. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    17. 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.
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