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Absolute income mobility and the effect of parent generation inequality: An extended decomposition approach
Liss, E., Korpi, M., & Wennberg, K.
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Selected publication

No evidence of counteracting policy effects on European solar power invention and diffusion
Grafström, J., & Poudineh, R.
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About

  • About us

    • About
    • Contact us
  • Media

    • News archive
  • Cooperations

    • Eli F. Heckscher Lectures

Research

  • Areas

    • Labour Market Research
    • Competitiveness Research
    • Climate and Environmental Research
  • Ongoing research

    • Working Paper Series
  • People
  • Publications

    • Publications

      • Publications

    The Brexit Trade Disruption Revisited

    PublicationArticle (with peer review)
    Andreas Hatzigeorgiou, Brexit, Företagandets villkor, Handel, Magnus Lodefalk, Migration

    Abstract

    political implications. One of the most profound economic impacts would be on trade—the EU is the UK’s most important trade partner, with approximately half of UK total trade. A Brexit would imply looser economic integration between the UK and EU. In addition to the trade barriers that would arise from leaving the single market, there would also be negative trade policy effects. Previous analyses of the cost of a Brexit to the UK economy in terms of trade have probably underestimated the impact because they overlook the trade-enhancing role of migration. A Brexit would be likely to limit migration, which, in turn, would aggravate the exit’s trade-disruptive effect.

    Hatzigeorgiou, A., & Lodefalk, M. (2016). The Brexit Trade Disruption Revisited. The Estey Journal of International Law and Trade Policy, 17(1), 41-58.

    Details

    Author

    Hatzigeorgiou, A., & Lodefalk, M.

    Publication year

    2016

    Published in

    The Estey Journal of International Law and Trade Policy

    Related

    Magnus Lodefalk
    Associate Professor

    magnus.lodefalk@oru.se


    Similar content

    Artificial Intelligence for Public Use
    Working paperPublication
    Lodefalk, M.; Engberg, E.; Lidskog, R.; Tang, A.
    Download
    Publication year

    2025

    Published in

    Örebro University School of Business Working Paper

    Abstract

    This paper investigates the economic and societal impacts of Artificial Intelligence (AI) in the public sector, focusing on its potential to enhance productivity and mitigate labour shortages. Employing detailed administrative data and novel occupational exposure measures, we simulate future scenarios over a 20-year horizon, using Sweden as an illustrative case. Our findings indicate that advances in AI development and uptake could significantly alleviate projected labour shortages and enhance productivity. However, outcomes vary substantially across sectors and organisational types, driven by differing workforce compositions. Complementing the economic analysis, we identify key challenges that hinder AI’s effective deployment, including technical limitations, organisational barriers, regulatory ambiguity, and ethical risks such as algorithmic bias and lack of transparency. Drawing from an interdisciplinary conceptual framework, we argue that AI’s integration in the public sector must address these socio-technical and institutional factors comprehensively. To unlock AI’s full potential, substantial investments in technological infrastructure, human capital development, regulatory clarity, and robust governance mechanisms are essential. Our study thus contributes both novel economic evidence and an integrated societal perspective, informing strategies for sustainable and equitable public-sector digitalisation.

    Artificial Intelligence and Worker Stress Evidence from Germany
    Article (with peer review)Publication
    Koch, M., & Lodefalk, M.
    Download
    Publication year

    2025

    Published in

    Digital Society, 4(1), 5

    Abstract

    We use individual survey data providing detailed information on stress, technology adoption, and work, worker, and employer characteristics, in combination with recent measures of AI and robot exposure, to investigate how new technologies affect worker stress. We find a persistent negative relationship, suggesting that AI and robots could reduce the stress level of workers in Germany. We furthermore provide evidence on potential mechanisms to explain our findings. Overall, the paper contributes to the economic literature by providing suggestive evidence of modern technologies changing the way we perform our work in a way that reduces stress and work pressure.

    Artificial intelligence, hiring and employment: job postings evidence from Sweden
    Article (with peer review)Publication
    Engberg, E., Hellsten, M., Javed, F., Lodefalk, M., Sabolová, R., Schroeder, S., & Tang, A
    Publication year

    2025

    Published in

     Applied Economics Letters

    Abstract

    This paper investigates the impact of artificial intelligence (AI) on hiring and employment, using the universe of job postings published by the Swedish Public Employment Service from 2014 to 2022 and full-population administrative data for Sweden. We exploit a detailed measure of AI exposure according to occupational content and find that establishments exposed to AI are more likely to hire AI workers. Survey data further indicate that AI exposure aligns with greater use of AI services. Importantly, rather than displacing non-AI workers, AI exposure is positively associated with increased hiring for both AI and non-AI roles. In the absence of substantial productivity gains that might account for this increase, we interpret the positive link between AI exposure and non-AI hiring as evidence that establishments are using AI to augment existing roles and expand task capabilities, rather than to replace non-AI workers.

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