2012
DOI: 10.1016/j.eneco.2012.03.005
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Stochastic semi-nonparametric frontier estimation of electricity distribution networks: Application of the StoNED method in the Finnish regulatory model

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Cited by 134 publications
(87 citation statements)
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“…Given its complexity, it is common to model electricity distribution as a multiple output technology including total distribution volumes, peak demand, customers served, and/or distribution network length. However, while all these output attributes are important, their inclusion also tends to cause serious multicollinearity problems in estimation (Arocena et al, 2012;Kuosmanen, 2012). Given that the purpose of this paper is primarily methodological, we chose a more parsimonious model for two reasons.…”
Section: Empirical Applicationmentioning
confidence: 99%
“…Given its complexity, it is common to model electricity distribution as a multiple output technology including total distribution volumes, peak demand, customers served, and/or distribution network length. However, while all these output attributes are important, their inclusion also tends to cause serious multicollinearity problems in estimation (Arocena et al, 2012;Kuosmanen, 2012). Given that the purpose of this paper is primarily methodological, we chose a more parsimonious model for two reasons.…”
Section: Empirical Applicationmentioning
confidence: 99%
“…The Finish and Norwegian regulators have included the estimated socio-economic cost of outages (i.e., the value of energy not served due to outages) as part of the total cost for efficiency benchmarking (Kuosmanen, 2012). Outage costs are also used as an instrument to evaluate the social cost of service, including service quality.…”
Section: Network Security-related Costsmentioning
confidence: 99%
“…The regulatory model changed because the estimate of the frontier F should be a more reliable benchmark than the firm-specific T E estimates (cf. Kuosmanen (2012a)). However, the other European electricity regulation systems still rely on the firm-specific efficiency estimator.…”
Section: Performance In Terms Of the Estimated Production Frontiermentioning
confidence: 99%