Finding the right yardstick: regulation of electricity networks under heterogeneous environments

DOI10.1016/j.ejor.2017.07.059zbMath1376.91121OpenAlexW2744375818MaRDI QIDQ1681300

Endre Bjørndal, Astrid Cullmann, Mette Bjørndal, Maria Nieswand

Publication date: 23 November 2017

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://dspace.lboro.ac.uk/2134/26264

zbMATH Keywords

data envelopment analysiselectricity distributionyardstick regulation

Mathematics Subject Classification ID

Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)

Related Items (5)

Energy storage operation and electricity market design: on the market power of monopolistic storage operators ⋮ Setting network tariffs with heterogeneous firms: the case of natural gas distribution ⋮ Determinants of allocative and technical inefficiency in stochastic frontier models: an analysis of Norwegian electricity distribution firms ⋮ Stochastic frontier models with time-varying conditional variances ⋮ Firm-heterogeneous biased technological change: a nonparametric approach under endogeneity

Uses Software

• sfa
• Benchmarking

Cites Work

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• Measuring the efficiency of decision making units
• ASYMPTOTICS AND CONSISTENT BOOTSTRAPS FOR DEA ESTIMATORS IN NONPARAMETRIC FRONTIER MODELS
• Estimation and inference in two-stage, semi-parametric models of production processes
• Benchmarking with DEA, SFA, and R.
• Nonparametric conditional efficiency measures: asymptotic properties
• Asymptotic distribution of conical-hull estimators of directional edges
• Optimal bandwidth selection for conditional efficiency measures: a data-driven approach
• On the measurement of technical efficiency in the public sector
• DEA-based yardstick competition: The optimality of best practice regulation
• Non-discretionary inputs in data envelopment analysis
• Nonparametric frontier estimation: A robust approach.
• How to measure the impact of environmental factors in a nonparametric production model
• Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
• Resource-Use Efficiency in Public Schools: A Study of Connecticut Data
• Efficiency Analysis for Exogenously Fixed Inputs and Outputs
• Data envelopment analysis with stochastic data

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