An Alternative Benchmarking Approach for Electricity Utility Regulation Using Maximum Entropy

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Elvira Silva (Author) FEP; Macedo, P (Author) Other; Soares, I (Author) FEP

Conference proceedings International

Title: 2016 13th International Conference on the European Energy Market (EEM)

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-00K-T9F

DOI: 10.1109/eem.2016.7521250

Abstract (EN): The main purpose of this study is to present an alternative benchmarking approach that can be used by national regulators of utilities. It is widely known that the lack of sizeable data sets limits the choice of the benchmarking method and the specification of the model to set price controls within incentive-based regulation. Ill-posed frontier models are the problem that some national regulators have been facing. Maximum entropy estimators are useful in the estimation of such ill-posed models, in particular in models exhibiting small sample sizes, collinearity and non-normal errors, as well as in models where the number of parameters to be estimated exceeds the number of observations available. The empirical study involves a sample data used by the Portuguese regulator of the electricity sector to set the parameters for the electricity distribution companies in the regulatory period of 2012-2014. DEA and maximum entropy methods are applied and the efficiency results are compared.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4