Robust stochastic frontier analysis applied to the Brazilian electricity distribution benchmarking method.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorCampos, Magno Silvério-
Autor(es): dc.creatorCosta, Marcelo Azevedo-
Autor(es): dc.creatorGontijo, Tiago Silveira-
Autor(es): dc.creatorLopes-Ahn, Ana Lúcia-
Data de aceite: dc.date.accessioned2025-08-21T15:33:52Z-
Data de disponibilização: dc.date.available2025-08-21T15:33:52Z-
Data de envio: dc.date.issued2023-07-03-
Data de envio: dc.date.issued2023-07-03-
Data de envio: dc.date.issued2021-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/jspui/handle/123456789/16859-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.dajour.2022.100051-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1018447-
Descrição: dc.descriptionA Data Envelopment Analysis (DEA) method has been applied by the Brazilian regulator to set regulatory operational costs for 61 electricity distribution utilities. Recent studies show evidence that the current method still requires improvements. This study evaluates the use of Stochastic Frontier Analysis (SFA) as an alternative method. Pros and cons are evaluated. Results show that the SFA is more flexible to deal with outliers. However, the SFA has major convergence problems. Convergence issues can be overcome using Bayesian computations. This study advocates the use of both DEA and SFA as the best alternatives, as indicated by European regulators.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsaberto-
Direitos: dc.rightsThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Fonte: PDF do artigo.-
Palavras-chave: dc.subjectData envelopment analysis-
Palavras-chave: dc.subjectStochastic frontier analysis-
Palavras-chave: dc.subjectBayesian statistic-
Título: dc.titleRobust stochastic frontier analysis applied to the Brazilian electricity distribution benchmarking method.-
Aparece nas coleções:Repositório Institucional - UFOP

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