Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities
By M. Farsi, Massimo Filippini. 2004
207 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/47159a654e9280a9f582c9f643863bf171d7c8cc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Massimo Filippini
- M. Farsi
- William H. Greene
- C. von Hirschhausen
- Astrid Cullmann
- Andreas Kappeler
- L. Hunt
- Stephane Hess
In Management Science and Operations Research
- Massimo Filippini
- M. Farsi
- William H. Greene
- Astrid Cullmann
- C. von Hirschhausen
- Andreas Kappeler
- Dennis Hilgers
- Hannes W. Lampe
Citations in the corpus
- Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies (2004, methodology): “For instance, as shown by Farsi and Filippini (2004) for the case of electricity networks, the regulator could use these models to predict a confidence interval for the costs of each one of the firms.”
- Application of Panel Data Models in Benchmarking Analysis of the Electricity Distribution Sector (2006, unknown): “This specification is similar to that used in Farsi and Filippini (2004) with the only difference that here we excluded two explanatory variables whose effects proved to be statistically”
- Efficiency analysis of German electricity distribution utilities – non-parametric and parametric tests (2006, background): “Using panel data of 59 Swiss distribution companies over eight years, Farsi and Filippini ( 2004 ) argue that different methodologies may lead to different results, but that the reasonable out-of-sample ‘prediction errors suggest that panel data models can be used as a prediction instrument in order”