MedarbetareProfessor

Magnus Söderberg

Kontaktuppgifter

E-post: magnus.soderberg@ratio.se
Länkar: Google Scholar
Griffith University

Professor Magnus Söderberg är knuten till Griffith University i Australien där han är föreståndare för Centre of Applied Energy Economics and Policy Research (CAEEPR). Han arbetar brett med energi- och miljöekonomiska utmaningar. Vid Ratio arbetar Magnus framförallt med beteendeekonomiska tillämpningar i syfte att minska avfallssektorns miljöbelastningar.

Relaterade publikationer

Artikel (med peer review)

The autonomous adaptation of US homes to changing temperatures

Cohen, F., Glachant, M., & Söderberg, M.

Publiceringsår

2025

Publicerat i

Journal of Economic Geography

Sammanfattning

Little is known about how households adapt to climate change. Previous research has focused on geographical differences in fuel choice and air conditioning. Using a twenty-eight-year panel of homes, we conducted the first longitudinal analysis of eight categories of adaptations and their impact on electricity, gas, and water expenditures. Exposure to cold or warm days correlates with increased spending on doors, windows, equipment, insulation, energy, and water. Our findings suggest cooling costs will rise, offset by lower heating costs. We predict a significant increase in electricity and water use during summer, leading to seasonal utility adjustments.

Working paper

Social Preferences and Environmental Externalities

Campos-Mercade, P., Ek, C., Söderberg, M., & Schneider, F. H.

Publiceringsår

2025

Publicerat i

Working paper series: Department of Economics, School of Economics and Management, Lund University.

Sammanfattning

Standard economic theory assumes that consumers ignore the externalities they create, such as emissions from burning fossil fuels and generating waste. In an incentivized study (N = 3, 718), we find that most people forgo substantial gains to avoid imposing negative externalities on others. Using administrative data on household waste, we show a clear link between such prosociality and waste behavior: prosociality predicts lower residual waste generation and higher waste sorting. Prosociality also predicts survey-reported pro-environmental behaviors such as lowering indoor temperature, limiting air travel, and consuming eco-friendly products. These findings highlight the importance of considering social preferences in environmental policy.

Artikel (med peer review)

The impact of population size and waste bin structure on the cost of municipal solid waste (MSW) management: Evidence from Sweden and Norway.

Söderberg, M., Sundriyal, V. K., & Gabrielsson, J.

Publiceringsår

2025

Publicerat i

Waste Management

Sammanfattning

The growing amount of waste worldwide has led to policies requiring cost-effective waste management. Consequently, municipalities responsible for providing waste services are under greater pressure to do so efficiently for their residents. Using data from 225 Swedish and Norwegian municipalities, we investigate how the waste bin structure and population affect the cost of MSW management. Results indicate that 4-compartment bins are the most expensive (+13 %), while using the same bin types in detached and multi-family dwellings leads to coordination savings (−18 %). The cost-minimising population is slightly above 600,000 inhabitants, and the cost per inhabitant can be reduced by up to 30 % in several locations through collaborations with larger neighbours.

Working paper

A penalization approach for estimating inefficiency in stochastic frontier panel models

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

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.

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.

Working paper

Electricity prices and preferences for climate and energy policy

Bonev, P., Söderberg, M., & Vesterberg, M.

Publiceringsår

2025

Publicerat i

Griffith University Working papers.

Sammanfattning

We analyse the impact of high electricity prices on individual preferences and attitudes toward climate and energy policy in Sweden. Our identification strategy leverages key features of the data and study design. First, consumers are distributed across four electricity price areas, each characterized by varying and often divergent electricity prices. Second, surveys were conducted in four distinct waves. Notably, between the second and third waves, electricity prices were nearly identical across price areas, whereas after the third wave, significant price differences emerged. Using multiple estimators that exploit these features, we find that higher electricity prices: (1) reduce acceptance of a carbon tax, (2) increase support for nuclear power, (3) diminish concerns about climate change, and (4) have no significant impact on other political attitudes or food consumption preferences.

Artikel (med peer review)

Nuclear Waste in My Backyard: Social Acceptance and Economic Incentives

Bonev, P., Emmenegger, R., Forero, L., Ganev, K., Simeonova-Ganeva, R., et al.

Publiceringsår

2024

Publicerat i

Energy Policy

Sammanfattning

We evaluate a political market mechanism for allocating nuclear waste repositories to local communities. This mechanism consists of a local referendum and economic incentives offered to the local population. Using a randomized choice experiment, we find that the political market mechanism potentially solves the Not-In-My-Backyard problem of nuclear waste.

Working paper

Working Paper No. 381: How social norm feedback can reduce unsorted waste and increase recycling in the residential sector

Ek, C., & Söderberg, M.

Publiceringsår

2024

Publicerat i

Ratio Working Paper No Series.

Sammanfattning

The EU waste legislation requires member states to prepare 55% of municipal waste for re-use and recycling, to recycle 65% of all packaging waste by 2025, and to limit landfilling municipal waste to 10% by 2035. A large majority of the member states are at risk of missing one or more of these targets. Thus, there is a need to identify additional policies beyond command-and-control and market-based instruments that can effectively contribute to these targets. This policy brief describes one such policy: social norms feedback. This has been trialled with nearly 20,000 households in Sweden that faced Pay-as-you-throw schemes. In this setting, the unsorted waste fraction was reduced by around 10% and three quarters of that was due to increased recycling. The large trial sample and wide-ranging socio-economic characteristics suggests that 10-20% reduction of unsorted waste can be expected in jurisdictions with flat tariffs. If local governments collaborate and share the cost of waste truck equipment, then the policy is likely to generate a substantial economic surplus.

Artikel (med peer review)

Norm-based feedback on household waste: Large-scale field experiments in two Swedish municipalities

Ek, C. & Söderberg, M.

Publiceringsår

2024

Publicerat i

Journal of Public Economics

Sammanfattning

We conduct two large-scale randomized controlled trials to produce the first evidence that Home Energy Report-type norm feedback letters can be used to reduce household waste. We explore several feedback variants, including a novel short-run dynamic norm that emphasizes ongoing changes in waste behavior. Waste reductions are on the order of 7%–12% for all treatments, substantially larger than usually found in the energy or water domains. Effects are mostly driven by increased recycling of packaging and remain largely intact a year after the intervention ended. Feedback is highly cost effective compared to alternative non-price waste policies. However, net social benefits depend on household preferences for receiving feedback, which we elicit in a valuation survey, and whether existing waste fees internalize the marginal social cost of waste.

Working paper

Ratio Working Paper No. 372: Customers’ value-for-money for a regulated service across differen towners

Biggar, D., & Söderberg, M. (2024). Customers’ value-for-money for a regulated service across different owners (Ratio Working Paper No. 372). Ratio.

Publiceringsår

2024

Publicerat i

Ratio Working Paper Series.

Sammanfattning

What are the best ownership and governance arrangements for a natural monopoly facility? There are three broad approaches: (a) private ownership, coupled with arms-length public utility regulation; (b) some form of government (central, state, or local) ownership; and (c) customer or community ownership. While there is a substantial literature comparing outcomes under private and public (i.e., government) ownership, there is relatively little literature comparing private and/or government ownership with customer ownership. One of the obstacles of performance comparison is that different businesses may choose a different price-quality trade-off, making direct comparison impossible. In this study we cut through this problem by comparing customer perceptions of value-for-money. The study is based on interviews of more than 600 randomly selected electricity distribution customers in Sweden, approximately 150 in each ownership category (municipal, customer, private, and state). These distributors are subject to an identical regulatory framework. The results show that those owned directly by customers are perceived to deliver significantly more value for money than those owned by the government or by private investors. These results lend weight to the view that a well-governed customer-owned utility may lead to better outcomes than other owners.

Working paper

Working Paper No. 367: The Impact of population size and bin structure on the cost of municipal solid waste: evidence from Sweden and Norway

Söderberg, M., Sundriyal, V. K., & Gabrielsson, J.

Publiceringsår

2023

Publicerat i

Ratio Working Paper Series

Sammanfattning

Increasing waste levels, combined with ambitious environmental targets, are exerting upward pressures on the cost for municipal solid waste in many countries. The purpose of this study is to investigate what municipalities can do to counteract this development. We collect information about population, cost and waste from 225 Swedish and Norwegian municipalities and empirically investigate how waste bin structure/type of waste collection system and population affect municipalities’ waste cost. Results indicate that 4-compartment bins is the most expensive bin structure (+13%) and using the same bin types in detached and multi-family dwellings leads to coordination savings (-18%). The cost minimising population is slightly above 600,000 inhabitants. Several of the surveyed municipalities have substantially fewer inhabitants than that and cost per inhabitant can be reduced by up to 30% in several locations through collaborations with larger neighbours. In Sweden, transferring the responsibility for solid waste from the municipalities (290 in total) to the regions (20 in total) would eliminate almost all scale inefficiencies.

Artikel (med peer review)

The Effect of Working from Home on Waste Behaviors

Bonev, P., Söderberg, M., & Unternährer, M.

Publiceringsår

2023

Publicerat i

SSRN 4333193.

Sammanfattning

We evaluate the effect of working from home on waste generated by individuals both at and away from their homes. To this end, we collect a unique dataset that matches administrative household-level waste data from Sweden with survey data on how many hours individuals work from home. A novel identification approach allows us to link waste generated away from home to the choice of work location. Our results suggest that working from home reduces organic and residual waste by 20% and 12%, respectively.

Artikel (med peer review)

Network Regulation under electoral competition

Leroux, A., & Söderberg, M.

Publiceringsår

2023

Publicerat i

Energy Economics, 106614.

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.

Artikel (med peer review)

Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data

Duras, T., Javed, F., Månsson, K., Sjölander, P., & Söderberg, M.

Publiceringsår

2023

Publicerat i

Energy Economics, 106621.

Sammanfattning

Agencies that regulate electricity providers often apply nonparametric data envelopment analysis (DEA) to assess the relative efficiency of each firm. The reliability and validity of DEA are contingent upon selecting relevant input variables. In the era of big (wide) data, the assumptions of traditional variable selection techniques are often violated due to challenges related to high-dimensional data and their standard empirical properties. Currently, regulators have access to a large number of potential input variables. Therefore, our aim is to introduce new machine learning methods for regulators of the energy market. We also propose a new two-step analytical approach where, in the first step, the machine learning-based adaptive least absolute shrinkage and selection operator (ALASSO) is used to select variables and, in the second step, selected variables are used in a DEA model. In contrast to previous research, we find, by using a more realistic data-generating process common for production functions (i.e., Cobb–Douglas and Translog), that the performance of different machine learning techniques differs substantially in different empirically relevant situations. Simulations also reveal that the ALASSO is superior to other machine learning and regression-based methods when the collinearity is low or moderate. However, in situations of multicollinearity, the LASSO approach exhibits the best performance. We also use real data from the Swedish electricity distribution market to illustrate the empirical relevance of selecting the most appropriate variable selection method.

The article in total can be read here.

Artikel (med peer review)

Regularized conditional estimators of unit inefficiency in stochastic frontier analysis, with application to electricity distribution market

Zeebari, Z., Månsson, K., Sjölander, P., & Söderberg, M.

Publiceringsår

2023

Publicerat i

Journal of Productivity Analysis, 59(1), 79-97.

Sammanfattning

In stochastic frontier analysis, the conventional estimation of unit inefficiency is based on the mean/mode of the inefficiency, conditioned on the composite error. It is known that the conditional mean of inefficiency shrinks towards the mean rather than towards the unit inefficiency. In this paper, we analytically prove that the conditional mode cannot accurately estimate unit inefficiency, either. We propose regularized estimators of unit inefficiency that restrict the unit inefficiency estimators to satisfy some a priori assumptions, and derive the closed form regularized conditional mode estimators for the three most commonly used inefficiency densities. Extensive simulations show that, under common empirical situations, e.g., regarding sample size and signal-to-noise ratio, the regularized estimators outperform the conventional (unregularized) estimators when the inefficiency is greater than its mean/mode. Based on real data from the electricity distribution sector in Sweden, we demonstrate that the conventional conditional estimators and our regularized conditional estimators provide substantially different results for highly inefficient companies.

The article can be accessed here.

Artikel (med peer review)

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

Bonev, P., Glachant, M., & Söderberg, M.

Publiceringsår

2022

Publicerat i

Energy Economics, 109, 105927.

Sammanfattning

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.

Working paper

An empirical evaluation of the effect of working from home on waste behavior

Bonev, P., Soederberg, M., & Unternährer, M.

Publiceringsår

2022

Publicerat i

University of St. Gallen, School of Economics and Political Science.

Sammanfattning

We evaluate the effect of working from home on waste generated by individuals both at and away from their homes. To that end, we collect a unique dataset that matches administrative household-level waste data from Sweden with survey data on how many hours individuals work from home. A novel identification approach allows us to link waste generated away from home to the choice of location of work. Our results suggest that working from home reduces organic and residual waste by 20% and 12%, respectively.

The article can be accessed here.

Working paper

Ratio Working Paper No. 346: Does published research influence policy outcomes? The case of regulated electricity networks in western Europe

Söderberg, M. & Yang, Y.

Publiceringsår

2021

Publicerat i

Ratio Working Paper

Sammanfattning

This study investigates the relationship between number of articles about electricity network regulation published in peer-reviewed journals and actual electricity network prices. Data on published articles are sourced from ScienceDirect and network prices are provided by Eurostat. Different empirical approaches give the same result, namely that an increase in the number of published articles reduces the regulated network price. When articles are highly relevant, one additional article published per year reduces the price by at least 10%. Results also show that the influence on prices is delayed and the effect lasts for a few years. A survey is sent out to regulators to better understand if the relationship can be interpreted as causal. Responses reveal that regulators do access and incorporate relevant research into their work. Considering the cost required to continuously publish relevant articles, research seems to be a highly effective complement to more traditional regulatory work.

Working paper

Ratio Working Paper No. 345: Regularized Conditional Estimators of Unit Inefficiency in Stochastic Frontier Analysis, with Application to Electricity Distribution Market

Zeebari, Z., Månsson, K., Sjölander, P. & Söderberg, M.

Publiceringsår

2021

Publicerat i

Ratio Working Paper

Sammanfattning

The practical value of Stochastic Frontier Analysis (SFA) is positively related to the level of accuracy at which it estimates unit-specific inefficiencies. Conventional SFA unit inefficiency estimation is based on the mean/mode of the inefficiency, conditioned on the estimated composite error. This approach shrinks the inefficiency towards its mean/mode, which generates a distribution that is different from the distribution of the unconditional inefficiency; thus, the accuracy of the estimated inefficiency is negatively correlated with the distance the inefficiency is located from its mean/mode. We propose a regularized estimator based on Bayesian risk (expected loss) that restricts the unit inefficiency to satisfy the underlying theoretical mean and variation assumptions. We analytically investigate some properties of the maximum a posteriori probability estimator under mild assumptions and derive a regularized conditional mode estimator for three different inefficiency densities commonly used in SFA applications. Extensive simulations show that, under common empirical situations, e.g., regarding sample size and signal-to-noise ratio, the regularized estimator outperforms the conventional (unregularized) approach when the inefficiency is greater than its mean/mode. With real data from electricity distribution sector in Sweden, we demonstrate that the conventional conditional estimators and our regularized conditional estimators give substantially different results for highly inefficient companies.