This paper shows the efficiency measurements of 40 Brazilian electricity distribution companies. The efficiency scores are obtained using the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) models, techniques that can reduce the information asymmetry and improve the regulator skills to compare the performance of the electricity companies, which are fundamental aspects of regulatory regimes. The two approaches are described, and the main results obtained from the different models are compared.
Data envelopment analysis; Stochastic frontier; Economic regulation