Regulation and Measuring Cost Efficiency with Panel Data Models: Application to Electricity Distribution Utilities
This paper examines the application of different parametric methods to measure cost efficiency of electricity distribution utilities. The cost frontier model is estimated using four methods: Displaced Ordinary Least Squares, Fixed Effects, Random Effects and Maximum Likelihood Estimation. These methods are applied to a sample of 59 distribution utilities in Switzerland. The data consist of an unbalanced panel over a nine-year period from 1988 to 1996. Different specifications are compared with regards to the estimation of cost frontier characteristics and inefficiency scores. The results point to some advantages for the FE model in the estimation of cost function’s characteristics. The mutual consistency of different methods with regard to efficiency measures is analyzed. The results are mixed. The summary statistics of inefficiency estimates are not sensitive to the specification. However, the ranking changes significantly from one model to another. In particular, the least and most efficient companies are not identical across different methods. These results suggest that a valid benchmarking analysis should be applied with special care. It is recommended that the regulator use several specifications and perform a (mutual) consistency analysis. Finally, the out-of-sample prediction errors of different models are analyzed. The results suggest that benchmarking methods can be used as a control instrument in order to narrow the information gap between the regulator and regulated companies.
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- Rossi, Martin Antonio & Ruzzier, Christian Alejandro, 2000. "On the regulatory application of efficiency measures," Utilities Policy, Elsevier, vol. 9(2), pages 81-92, June.
- 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.).
- Bauer, Paul W. & Berger, Allen N. & Ferrier, Gary D. & Humphrey, David B., 1998. "Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods," Journal of Economics and Business, Elsevier, vol. 50(2), pages 85-114, March.
- 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," Financial Services working paper 97-02, Federal Reserve Bank of Cleveland.
- Efthymios G. Tsionas, 2002.
"Stochastic frontier models with random coefficients,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
- Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," DEOS Working Papers 130, Athens University of Economics and Business.
- Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
- Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
- Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
- Antonioli, B. & Filippini, M., 2001. "The use of a variable cost function in the regulation of the Italian water industry," Utilities Policy, Elsevier, vol. 10(3-4), pages 181-187.
- Simar, L., 1991.
"Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric methods with boot strapping,"
CORE Discussion Papers
1991026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- SIMAR, Léopold, . "Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric metods with bootstrapping," CORE Discussion Papers RP -995, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 7(3-4), October.
- 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.
- Richmond, J, 1974. "Estimating the Efficiency of Production," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 515-21, June.
- Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
- Filippini, Massimo & Wild, Jorg, 2001.
"Regional differences in electricity distribution costs and their consequences for yardstick regulation of access prices,"
Elsevier, vol. 23(4), pages 477-488, July.
- Massimo Filippini & Jörg Wild, 2000. "Regional Differences in Electricity Distribution Costs and their Consequences for Yardstick Regulation of Access Prices," CEPE Working paper series 00-05, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Jamasb, T. & Pollitt, M., 2001. "Benchmarking and Regulation of Electricity Transmission and Distribution Utilities: Lessons from International Experience," Cambridge Working Papers in Economics 0101, Faculty of Economics, University of Cambridge.
- Andrei Shleifer, 1985. "A Theory of Yardstick Competition," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 319-327, Autumn.
- Massimo Filippini, 1998. "Are Municipal Electricity Distribution Utilities Natural Monopolies?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 69(2), pages 157-174, 06.
- Filippini, Massimo & Maggi, Rico, 1993. "Efficiency and Regulation in the Case of the Swiss Private Railways," Journal of Regulatory Economics, Springer, vol. 5(2), pages 199-216, June.
- Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
- Baillie, R.T. & Baltagi, B.H., 1994. "Prediction from the Regression Model with one-way Error Components," Papers 9405, Michigan State - Econometrics and Economic Theory.
- Foreman-Peck, James & Waterson, Michael, 1985. "The Comparative Efficiency of Public and Private Enterprise in Britain: Electricity Generation between the World Wars," Economic Journal, Royal Economic Society, vol. 95(380a), pages 83-95, Supplemen.
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