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 (with peer review)

Migration and Servicification: Do Immigrant Employees Spur Firm Exports of Services?

Abstract

Services play an increasingly important role in production, employment and international trade but are subject to substantially higher trade costs relative to manufactured goods. Knowledge of how these trade costs can be mitigated is important for facilitating trade of services. In this paper, we analyze the role of immigrant employees as facilitators of firm exports of services, a role that remains largely unexamined. We bridge the gap in existing research by drawing on new data for nearly 30,000 Swedish firms during the period 1998‐2007 within a heterogeneous firm framework. The results have important policy implications. As the multilateral approach to facilitating trade is challenged and more countries are imposing measures to restrict the cross‐country mobility of people, policymakers may need to find new ways to promote exports of services. Our results indicate that immigrant employees spur firms’ export of services activities: hiring one additional foreign‐born worker can increase services exports by approximately 2.5 percent, on average, with a stronger effect found for skilled and newly arrived immigrants. Therefore, policymakers could leverage the findings of this study to implement initiatives that utilize high‐skilled immigrants to promote services exports.

Lodefalk, M. & Hatzigeorgiou, A. (in press). Migration and Servicification: Do Immigrant Employees Spur Firm Exports of Services?The World Economy. DOI: 10.1111/twec.12838ePDFPDF

Details

Author
Lodefalk, M. & Hatzigeorgiou, A.
Publication year
2019
Published in

The World Economy

Related

  • Associate Professor

    Magnus Lodefalk

    magnus.lodefalk@oru.se

Similar content

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.
    Working paper

    Ratio Working Paper No. 388: Same Storm, Different Boats: Generative AI and the Age Gradient in Hiring

    Lodefalk, M., Löthman, L., Koch, M., & Engberg, E.
    Download

    Publication year

    2026

    Published in

    Ratio Working Paper Series.

    Abstract

    We show that the age composition of employment within Swedish employers shifts after the arrival of generative AI, with no corresponding reduction in aggregate labour demand. Using 4.6 million job advertisements from Sweden’s largest recruitment platform, we find that the broad decline in postings since 2022 aligns with monetary tightening rather than AI, exploiting Sweden’s seven-month gap between the Riksbank’s first rate hike and the launch of ChatGPT as a timing test. We then use full-population employer–employee register data and an employer-level difference-in-differences design to estimate how AI exposure affects employment composition across six age groups. An event study documents an accelerating decline in employment of 22–25-year-olds in high-AI-exposure occupations, reaching 5.5 per cent by early 2025 relative to less exposed occupations within the same employers, while employment of workers over 50 rose by 1.3 per cent. The widening age gradient suggests that generative AI reshapes hiring composition rather than aggregate demand, with the adjustment burden falling disproportionately on entry-level workers.

    Working paper

    Working Paper No. 380. Artificial Intelligence, hiring and employment: Job postings evidence from Sweden.

    Engberg, E., Hellsten, M., Javed, F., Lodefalk, M., Sabolová, R., Schroeder, S.
    Download

    Publication year

    2024

    Published in

    Ratio Working Paper Series.

    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 2014-2022 and universal register data for Sweden. We construct 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.

    Show more