Arbeitspapier

Benchmarking heterogeneous distribution system operators: Evidence from Norway

Regulatory authorities in the European electricity sector use benchmarking techniques to determine the cost-efficient production level for an incentive regulation of distribution system operators (DSOs). With nearly 900 DSOs operating in the German electricity sector, of which 200 subject to incentive regulation, the issue of heterogeneity of DSOs has to be addressed. Using publicly available data of 133 Norwegian DSOs and replicating the model employed by the German regulator (who refuses access to the data), I show its assumption of homogeneous technology cannot be maintained. Quantile regressions (QR) across the cost distribution reveal heterogeneity in the coefficients of the explanatory variables, resulting in biased efficiency scores derived from stochastic frontier analysis. To correct for this heterogeneity in coefficients, I propose a Bayesian estimation of a more flexible SFA with latent classes for selected parameters that reflect variation in technologies. This estimation has better goodness of fit, reduced variance of all coefficients, and higher efficiency scores for nearly all DSOs, compared to the conventional alternative.

Language
Englisch

Bibliographic citation
Series: Discussion Papers ; No. 16-06

Classification
Wirtschaft
Bayesian Analysis: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
Electric Utilities
Subject
Efficiency measurement
cost function
incentive regulation
electricity sector

Event
Geistige Schöpfung
(who)
Elias, George
Event
Veröffentlichung
(who)
University of Bern, Department of Economics
(where)
Bern
(when)
2016

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Elias, George
  • University of Bern, Department of Economics

Time of origin

  • 2016

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