Regulators of electricity distribution networks have typically applied Data Envelopment
Analysis (DEA) to cross-section data for benchmarking purposes. However, the use of panel …

We compare three recently developed frontier estimators, namely the conditional DEA
(Daraio and Simar, 2005; 2007b), the latent class SFA (Greene, 2005; Orea and Kumbhakar …

Electricity distribution often exhibits economies of scale. In Norway, a number of smaller
distribution system operators exist and thus there is potential to restructure the industry …

Numerous studies have focused on estimating technical inefficiency in electricity distribution
firms. However, most of these studies did not distinguish between persistent and transient …

This study examines the hypothesis that changes to high-powered incentive regulations
have a positive efficiency and productivity growth effects in a regulated electricity distribution …

Revenue cap regulation is often combined with systematic benchmarking to reveal the
managerial inefficiencies when regulating natural monopolies. One example is the …

Our paper applies data envelopment analysis (DEA) and stochastic non-parametric
envelopment of data (StoNED) to measure cost efficiency of electricity distribution …

Electric utility regulators and policy makers implement incentive-based regulation to improve
electric utilities efficiency or to manage the cost of electricity. However, poorly implemented …

Non-parametric efficiency analysis, such as Data Envelopment Analysis (DEA) relies so far
on endogenous local or exogenous general weights, based on revealed preferences or …

Frontier-based yardsticks, as applied in European energy network regulation, are not
immune to strategic behavior. Under yardstick regulation, the regulator gauges the operator …