Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities
This paper examines the performance of panel data models in measuring cost-efficiency of electricity distribution utilities. Different cost frontier models are applied to a sample of 59 utilities operating in Switzerland from 1988 to 1996. The estimated coefficients and inefficiency scores are compared across different specifications. The results indicate that while the average inefficiency is not sensitive to the econometric specification, the efficiency ranking varies significantly across models. The reasonably low out-of-sample prediction errors suggest that panel data models can be used as a prediction instrument in order to narrow the information gap between the regulator and regulated companies.
Volume (Year): 25 (2004)
Issue (Month): 1 (08)
|Contact details of provider:|| Web page: http://www.springer.com|
|Order Information:||Web: http://www.springer.com/economics/industrial+organization/journal/11151/PS2|
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.:
- 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.
- 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.
- Rossi, Martin Antonio & Ruzzier, Christian Alejandro, 2000. "On the regulatory application of efficiency measures," Utilities Policy, Elsevier, vol. 9(2), pages 81-92, June.
- Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
- 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.
- 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.).
- 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.
- 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.
- Tsionas, E.G., 2001.
"Stochastic Frontier Models with Random Coefficients,"
DEOS Working Papers
130, Athens University of Economics and Business.
- 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," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
- 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.
- Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
- 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 of Agricultural Economists, International Association of Agricultural Economists, vol. 7(3-4), October.
- 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.
- Filippini, Massimo & Wild, Jorg, 2001. "Regional differences in electricity distribution costs and their consequences for yardstick regulation of access prices," Energy Economics, Elsevier, vol. 23(4), pages 477-488, July.
- Kajal Lahiri, 2005. "Analysis of Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1093-1095.
- 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).
- 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.
- 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.
- 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.
- 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.
When requesting a correction, please mention this item's handle: RePEc:kap:revind:v:25:y:2004:i:1:p:1-19. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Rebekah McClure)
If references are entirely missing, you can add them using this form.