Energy performance evaluation of OECD countries using Bayesian stochastic frontier analysis and Bayesian network classifiers

Mehmet Ali Cengiz, Emre Dünder and Talat Şenel

Journal of Applied Statistics, 2018, vol. 45, issue 1, 17-25

Abstract: More recently a large amount of interest has been devoted to the use of Bayesian methods for deriving parameter estimates of the stochastic frontier analysis. Bayesian stochastic frontier analysis (BSFA) seems to be a useful method to assess the efficiency in energy sector. However, BSFA results do not expose the multiple relationships between input and output variables and energy efficiency. This study proposes a framework to make inferences about BSFA efficiencies, recognizing the underlying relationships between variables and efficiency, using Bayesian network (BN) approach. BN classifiers are proposed as a method to analyze the results obtained from BSFA.

Date: 2018
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DOI: 10.1080/02664763.2016.1257586

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