Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/240765 
Year of Publication: 
2020
Series/Report no.: 
Texto para Discussão No. 2570
Publisher: 
Instituto de Pesquisa Econômica Aplicada (IPEA), Brasília
Abstract (Translated): 
The objective of the this study is to present an alternative approach to the current methodology implemented by Aneel for estimating efficiency of the distribution sector of electric energy in Brazil. For this purpose, Bayesian inference is applied in order to estimate a stochastic cost frontier capable of contemplating the temporal dynamics of efficiency. The consideration of this point is fundamental because the studies carried out to evaluate the efficiency of the electricity sector have neglected that part of the efficiency of a utility comes from the gain of scale due to the expansion of the market, a process that happens over time. Our sample is composed of panel data of 61 electric power concessionaires between 2003 and 2016.
Subjects: 
electric sector
tariff revision
efficiency
stochastic frontier
Bayesian inference
JEL: 
Q40
Q48
Q49
Document Type: 
Working Paper

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