Ratio logo white

Ratio is an interdisciplinary research institute, with a research focus on the conditions of business and enterprise.

08-441 59 00info@ratio.se

802002-5212

Sveavägen 59 4trp

11359 Stockholm

Bankgiro: 512-6578

PublicationsSeminarsPeople

Popular

News archive
Publications
Seminars
People
Start
About
Contact us
Labour market research
Competitiveness research
Climate and environmental research
Swedish flag iconPå svenska
PublicationArticle (without peer review)

Brexflektioner – vilka blir de ekonomiska konsekvenserna av att Storbritannien lämnar EU?

Abstract

En kommande brexit kommer att få politiska och ekonomiska konsekvenser, inte minst genom minskad utrikeshandel och försämrat ekonomiskt samarbete i Europa. Vi diskuterar de ekonomiska konsekvenserna av en brexit, med fokus på handel och handelspolitik. Förmodligen har de negativa ekonomiska konsekvenserna underskattats eftersom den handelshämmande effekten av minskad migration inte beaktats. Vår slutsats är att brexit kommer att försämra den ekonomiska integrationen mellan EU och Storbritannien samt leda till en försvagad brittisk handelspolitik, vilket särskilt kan drabba Sverige. För att minimera kostnaderna av brexit bör Sverige eftersträva ett så ambitiöst och heltäckande ekonomiskt partnerskapsavtal mellan EU och Storbritannien som möjligt.

Hatzigeorgiou, A, & Lodefalk, M. (2016). Brexflektioner – vilka blir de ekonomiska konsekvenserna av att Storbritannien lämnar EU?, Ekonomisk debatt, 49(6), 15-27.

Details

Author
Hatzigeorgiou, A, & Lodefalk, M.
Publication year
2016
Published in

Ekonomisk debatt

Related

  • Associate Professor

    Magnus Lodefalk

    magnus.lodefalk@oru.se

Similar content

Article (with peer review)

Artificial Intelligence for Public Use

Lodefalk, M.; Engberg, E.; Lidskog, R.; Skargren, F.; Tang, A.
Download

Publication year

2026

Published in

Digital Society

Abstract

The public sector faces rising expectations, demographic change and persistent efficiency challenges. This article examines both the potential and limitations of AI in public services. Using an interdisciplinary conceptual framework, it analyses organisational, regulatory, technical and ethical barriers. It also simulates AI’s possible long-term effects on labour demand and productivity in Sweden using administrative data and occupational AI-exposure measures. The scenarios suggest that AI could help ease labour shortages and raise productivity, although effects vary substantially across subsectors and types of organisation. The results are scenarios, not forecasts.

Article (without peer review)

DAIOE: Dynamic AI Occupational Exposure (dataset and construction pipeline)

E. Engberg, H. Görg, M. Hellsten, F. Javed, M. Lodefalk, M. Längkvist, N. Monteiro, H. Kyvik Nordås, G. Pulito, S. Schroeder & A. Tang

Publication year

2026

Published in

Zenodo

Abstract

DAIOE is a dataset of occupation-year measures of exposure to artificial intelligence, accompanied by its construction pipeline and documentation. The index combines progress across public AI benchmarks with occupational ability profiles to estimate how exposure changes over time. The dataset covers multiple occupational classifications, including Swedish SSYK. It is a research data resource, not a peer-reviewed article.

Reports

Who is afraid of AI? Who should be?

Engberg, E., Görg, H., Hellsten, M., Javed, F., Lodefalk, M., Längkvist, M., & ..

Publication year

2026

Published in

Kiel Policy Brief, 2026.

Abstract

  • Occupations that are highly cognitive, non-physical, and low in social interaction — typically higher-skill white-collar roles such as data analysts, software developers, and translators — turn out to be highly AI-exposed
  • Occupations requiring manual dexterity or intensive interpersonal contact — such as construction labourers or nursing aides — remain among the least exposed to current AI technologies
  • Aggregate occupational exposure to AI has risen markedly since 2010, with especially rapid gains in the late 2010s and early 2020s
  • Our baseline estimates show no detectable effect of AI exposure on total firm employment, while it is associated with clear skill upgrading
    1. Engberg, E., Görg, H., Hellsten, M., Javed, F., Lodefalk, M., Längkvist, M., & .. (2026). Who is afraid of AI? Who should be?. Kiel Policy Brief, 2026.
    Show more