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Benchmarking and firm heterogeneity: a latent class analysis for German electricity distribution companies

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  • Astrid Cullmann

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Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 42 (2012)
Issue (Month): 1 (February)
Pages: 147-169

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Handle: RePEc:spr:empeco:v:42:y:2012:i:1:p:147-169

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Related research

Keywords: Stochastic frontiers; Latent class model; Electricity distribution; Incentive regulation;

References

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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.:
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  1. Mehdi Farsi & Massimo Filippini, 2003. "Regulation and Measuring Cost Efficiency with Panel Data Models: Application to Electricity Distribution Utilities," CEPE Working paper series 03-19, CEPE Center for Energy Policy and Economics, ETH Zurich.
  2. Christian Growitsch & T. Jamasb & M. Pollitt, 2005. "Quality of Service, Efficiency, and Scale in Network Industries: An Analysis of European Electricity Distribution," IWH Discussion Papers 3, Halle Institute for Economic Research.
  3. David Saal & David Parker & Tom Weyman-Jones, 2007. "Determining the contribution of technical change, efficiency change and scale change to productivity growth in the privatized English and Welsh water and sewerage industry: 1985–2000," Journal of Productivity Analysis, Springer, vol. 28(1), pages 127-139, October.
  4. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
  5. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
  6. M.E. Beesley & S.C. Littlechild, 1989. "The Regulation of Privatized Monopolies in the United Kingdom," RAND Journal of Economics, The RAND Corporation, vol. 20(3), pages 454-472, Autumn.
  7. Tim J. Coelli & Chris O'Donnell, 2003. "A Bayesian Approach To Imposing Curvature On Distance Functions," CEPA Working Papers Series WP032003, School of Economics, University of Queensland, Australia.
  8. 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.
  9. Mehdi Farsi & Massimo Filippini & William Greene, 2005. "Application of Panel Data Models in Benchmarking Analysis of the Electrivity Distribution Sector," CEPE Working paper series 05-39, CEPE Center for Energy Policy and Economics, ETH Zurich.
  10. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
  11. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
  12. 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.
  13. Kumbhakar, Subal C., 1991. "Estimation of technical inefficiency in panel data models with firm- and time-specific effects," Economics Letters, Elsevier, vol. 36(1), pages 43-48, May.
  14. Filippini, Massimo & Hrovatin, Nevenka & Zoric, Jelena, 2004. "Efficiency and regulation of the Slovenian electricity distribution companies," Energy Policy, Elsevier, vol. 32(3), pages 335-344, February.
  15. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  16. Atkinson, Scott E. & Primont, Daniel, 2002. "Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions," Journal of Econometrics, Elsevier, vol. 108(2), pages 203-225, June.
  17. 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.
  18. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
  19. Astrid Cullmann & Christian von Hirschhausen, 2008. "From transition to competition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 16(2), pages 335-357, 04.
  20. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
  21. Grifell-Tatje, E. & Lovell, C. A. K., 1997. "The sources of productivity change in Spanish banking," European Journal of Operational Research, Elsevier, vol. 98(2), pages 364-380, April.
  22. Astrid Cullmann & Christian Hirschhausen, 2008. "Efficiency analysis of East European electricity distribution in transition: legacy of the past?," Journal of Productivity Analysis, Springer, vol. 29(2), pages 155-167, April.
  23. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
  24. Shuttleworth, Graham, 2005. "Benchmarking of electricity networks: Practical problems with its use for regulation," Utilities Policy, Elsevier, vol. 13(4), pages 310-317, December.
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Citations

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Cited by:
  1. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," CER-ETH Economics working paper series 13/171, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  2. Kuosmanen, Timo & Saastamoinen, Antti & Sipiläinen, Timo, 2013. "What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods," Energy Policy, Elsevier, vol. 61(C), pages 740-750.
  3. Anne Neumann & Maria Nieswand & Torben Schubert, 2013. "Estimating Alternative Technology Sets in Nonparametric Efficiency Analysis: Restriction Tests for Panel and Clustered Data," RSCAS Working Papers 2013/13, European University Institute.
  4. Chakrabarty, Subhajit & Nag, Biswajit, 2013. "Empirical study to segment firms and capture dynamic business context using LCA," MPRA Paper 51622, University Library of Munich, Germany.

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