On the sensitivity of US electric utilities' efficiency estimates – a distance function approach

References

• Estache , A. , Rossi , M. and Ruzzier , C. A. 2004 . The case for international coordination of electricity regulation: evidence from the measurement of efficiency in South America . Journal of Regulatory Economics , 25 : 271 – 95 .
   Web of Science ®Google Scholar
• Fama , E. and French , K. 1999 . The corporate cost of capital and the return on corporate investment . Journal of Finance , LIV : 1939 – 67 .
   Google Scholar
• Farsi , M. and Filippini , M. 2004 . Regulation and measuring cost efficiency with panel data models. Application to electricity distribution utilities . Review of Industrial Organization , 25 : 1 – 19 .
   Web of Science ®Google Scholar
• Farsi , M. , Filippini , M. and Greene , W. 2006 . Application of panel data models in benchmarking analysis of the electricity distribution sector . Annals of Public and Cooperative Economics , 77 : 271 – 90 .
   Google Scholar
• Greene, W. (2001) Fixed and random effects in nonlinear models, Working Paper 01-01, Department of Economics, Stern School of Business, New York University, http://www.stern.nyu.edu/∼wgreene/panel.pdf
   Google Scholar
• Greene , W. H. 2004 . Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems . Health Economics , 13 : 959 – 80 .
   PubMed Web of Science ®Google Scholar
• Greene , W. H. 2005 . Reconsidering heterogeneity in panel data estimators of the stochastic frontier model . Journal of Econometrics , 126 : 269 – 303 .
   Web of Science ®Google Scholar
• Growitsch , C. , Jamasb , T. and Pollitt , M. Quality of service, efficiency, and scale in network industries: an analysis of European electricity distribution . EPRG Working Paper 05/04 and IWH Discussion Paper No. 03-2005 . 2005 .
   Google Scholar
• Hess, B. (2006) Do mergers really increase efficiency? A cost efficiency analysis of electricity distributors in the US, Paper presented at 5th Conference on Applied Infrastructure Research (INFRADAY), 6 October 2006, TU Berlin. http://www.wip.tu-berlin.de
   Google Scholar
• Horrace , W. C. and Schmidt , P. 1996 . Confidence statements for efficiency estimates from stochastic frontier models . Journal of Productivity Analysis , 7 : 257 – 82 .
   Web of Science ®Google Scholar
• Jamasb , T. and Pollitt , M. 2001 . Benchmarking and regulation: international electricity experience . Utilities Policy , 9 : 107 – 30 .
   Google Scholar
• Jamasb , T. and Pollitt , M. 2003 . International benchmarking and regulation: an application to European electricity distribution utilities . Energy Policy , 31 : 1609 – 22 .
   Web of Science ®Google Scholar
• Jensen , U. 2000 . Is it efficient to analyse efficiency rankings? . Empirical Economics , 25 : 189 – 208 .
   Google Scholar
• Kumbhakar , S. C. and Lovell , C. A. K. 2000 . Stochastic Frontier Analysis , Cambridge : Cambridge University Press .
   Google Scholar
• Pitt , M. and Lee , L. 1981 . The measurement and sources of technical inefficiency in Indonesian weaving industry . Journal of Development Economics , 9 : 43 – 64 .
   Web of Science ®Google Scholar
• Rungsuriyawiboon, S. and Coelli, T. (2004) Regulatory reform and economic performance in US electricity generation, Working Paper 06/2004, CEPA Working Papers Series, University of Queensland, School of Economics
   Google Scholar
• Schmidt , P. and Sickles , R. E. 1984 . Production frontiers and panel data . Journal of Business and Economic Statistics , 2 : 367 – 74 .
   Google Scholar
• Shephard , R. W. 1953 . Cost and Production Functions , Princeton : Princeton University Press .
   Google Scholar
• Shephard , R. W. 1970 . Theory of Cost and Production Functions , Princeton : Princeton University Press .
   Google Scholar