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PublicationArticle (with peer review)

Implicit yardstick competition between heating monopolies in urban areas: Theory and evidence from Sweden

Abstract

This article examines a novel regulatory mechanism in a setting with multiple local monopolists. The mechanism rests upon the behavioral assumption that cus- tomers form opinions about prices by comparing them with prices set by nearby mo- nopolies and that this comparison influences their behavior. In this way, an “implicit yardstick competition” emerges among monopolists although they do not operate in the same markets. We test this mechanism using a unique dataset of unregulated district heating monopolists in Sweden. We find a large effect of neighbors’ prices, which indicates that the implicit yardstick competition has a considerable disciplin- ing effect on monopolies’ pricing behavior.

Bonev, P., Glachant, M., & Söderberg, M. (2022). Implicit yardstick competition between heating monopolies in urban areas: Theory and evidence from Sweden.Energy Economics, 109, 105927.

Details

Author
Bonev, P., Glachant, M., & Söderberg, M.
Publication year
2022
Published in

Energy Economics, 109, 105927.

Related

  • Professor

    Magnus Söderberg

    magnus.soderberg@ratio.se

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Tchatoka, F. D., Söderberg, M., Hakeem, M. A.
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Publication year

2025

Published in

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

Abstract

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.

Article (with peer review)

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

Söderberg, M., Vesterberg, M.

Publication year

2025

Published in

Journal of Regulatory Economics

Abstract

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.

Article (with peer review)

Are CEOs judged on how cost efficient their firms are?

Månsson, K., Qasim, M., Söderberg, M.
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Publication year

2025

Published in

Energy Economics

Abstract

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.

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