Campos, Magno SilvérioCosta, Marcelo AzevedoGontijo, Tiago SilveiraLopes-Ahn, Ana Lúcia2023-07-032023-07-032022CAMPOS, M. S. et. al. Robust stochastic frontier analysis applied to the Brazilian electricity distribution benchmarking method. Decision Analytics Journal, v. 3, artigo 100051, abr. 2022. Disponível em: <https://www.sciencedirect.com/science/article/pii/S2772662222000169>. Acesso em: 03 maio 2023.2772-6622http://www.repositorio.ufop.br/jspui/handle/123456789/16859A 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.en-USabertoData envelopment analysisStochastic frontier analysisBayesian statisticArtigo publicado em periodicoThis 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.https://doi.org/10.1016/j.dajour.2022.100051