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PublikationArtikel (med peer review)

Network Regulation under electoral competition

Sammanfattning

Academics and policymakers generally agree that energy infrastructure should be subject to price regulation. More and more critics of modern regulatory approaches, however, point to the apparent failures of these mechanisms to achieve competitive pricing in practice. Some have suggested that customers ought to be involved in the regulatory process, but it is uncertain how customers’ perspectives can best be incorporated. In this study, we evaluate how electoral competition influences monopoly pricing by extending well-known regulatory laboratory experiments. We show that electoral competition has a significant and negative impact on prices. This effect disappears when electoral competition is implemented jointly with incentive regulation, implying substitutability rather than complementarity of regulation and electoral competition.

The article can be accessed in full here.

Leroux, A., & Söderberg, M. (2023). Network Regulation under electoral competition. Energy Economics, 106614.

Detaljer

Författare
Leroux, A., & Söderberg, M.
Publiceringsår
2023
Publicerat i

Energy Economics, 106614.

Relaterat

  • Professor

    Magnus Söderberg

    magnus.soderberg@ratio.se

Liknande innehåll

Working paper

A penalization approach for estimating inefficiency in stochastic frontier panel models

Tchatoka, F. D., Söderberg, M., Hakeem, M. A.
Ladda ner

Publiceringsår

2025

Publicerat i

University of Adelaide, School of Economics and Public Policy Working Paper.

Sammanfattning

Efficiency analysis is essential for evaluating the performance of entities that deliver essential or standardized services. The estimator proposed by Jondrow et al. (1982) is widely used in this context, but it has been criticized for several shortcomings: it tends to bias inefficiency estimates toward the mean, distorts the distribution, and misrepresents the conditional distribution of inefficiency—especially in cross-sectional data.

Zeebari et al. (2023) propose a regularization-based alternative that aligns sample and theoretical moments; however, this method is primarily designed for cross-sectional applications and does not extend naturally to panel data.

In response, this paper introduces a penalized mode estimator for unit inefficiency in panel data. The estimator accounts for heteroskedasticity in both inefficiency and idiosyncratic errors. A closed-form expression is derived, and Monte Carlo simulations demonstrate its superior performance compared to existing methods. An empirical application using data from electricity providers in Australia, Canada, and New Zealand highlights the practical advantages of the proposed approach.

Artikel (med peer review)

Scale properties and efficient network structures in the Swedish electricity distribution market

Söderberg, M., Vesterberg, M.
Ladda ner

Publiceringsår

2025

Publicerat i

Journal of Regulatory Economics

Sammanfattning

This paper examines the Swedish electricity distribution sector to highlight three key findings. First, we identify significant economies of scale among electricity distribution firms, indicating that larger firms operate more efficiently. Second, we explore alternative market structures and demonstrate that these can substantially reduce the aggregated costs of electricity distribution. Third, we use novel survey data to show that firms perceive the economic incentives for mergers to be insufficient. These findings suggest that policymakers should consider creating a regulatory environment that encourages consolidation and enhance efficiency in the sector.

Artikel (med peer review)

Are CEOs judged on how cost efficient their firms are?

Månsson, K., Qasim, M., Söderberg, M.
Ladda ner

Publiceringsår

2025

Publicerat i

Energy Economics

Sammanfattning

This paper investigates whether executive boards consider firm-specific inefficiencies when they change CEOs in the Swedish electricity distribution sector. Firm-level inefficiencies are calculated using data from all Swedish electricity distributors from 2001 to 2022 and a data envelopment analysis (DEA) approach.

DEA has advantages over standard financial key performance indicators since it controls for heterogeneity in inputs and outputs. It is also frequently employed by energy regulators to calculate relative cost inefficiencies.

Our baseline approach uses a multilevel model and investigates the relationship between inefficiency and CEO between-effects. This analysis shows that 9–15 % of the variation in inefficiency can be attributed to the CEO effect.

The second modeling approach quantifies the CEO effect using a synthetic difference-in-differences approach, focusing on firms that have changed CEOs. The results reveal that new CEOs reduce cost inefficiency more when they succeed CEOs who were forced to leave.

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