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Working paper No. 302: Do Migrants Facilitate Internationalization? A Review of the Literature

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Abstract

How migration relates to internationalization has been a prominent question in international economics for a long time and its relevance for policy has increased with the amplified political focus on migration. But the role of migration for internationalization is not as obvious as the standard theory suggests, and tightening migration could have unexpected consequences for both developing and developed countries. In this paper we review and discuss over 100 papers published about migrants’ role in international trade and foreign direct investment, from pioneering country-level studies to nascent firm-level studies that utilize employer-employee data. To our knowledge, this is the first paper offering a wide-ranging review of the different strands of theory on the relationship between migration and internationalization, as well as new empirical findings. Although the evidence suggests that migration can facilitate internationalization, we also note substantial gaps and inconsistencies in the extant literature. The aim of this paper is to encourage future research and assist policymakers in their efforts to promote internationalization, and better understand the economic effects of changes in migration policy.

Hatzigeorgiou, A. & Lodefalk, M. (2017). Do Migrants Facilitate Internationalization? A Review of the Literature. Working Paper no. 302. Stockholm: Ratio.

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Author
Hatzigeorgiou, A. & Lodefalk, M.
Publication year
2017
Published in

Ratio Working Paper

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  • Associate Professor

    Magnus Lodefalk

    magnus.lodefalk@oru.se

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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.
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Published in

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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.

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Stayin’ alive: Export credit guarantees and export survival

Lodefalk, M., Tang, A., & Yu, M.
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Publication year

2025

Published in

Applied Economics Letters

Abstract

We use survival analysis to analyse the impact of export credit guarantees on firms’ export duration using granular Swedish panel data at the firm-country and firm-country-product levels. The estimation results show that firms’ export survival substantially increases with guarantees, at both levels. The associations are particularly strong for smaller firms and contracts as well as in trade with riskier markets. The findings have implications for policies to promote long-run export growth.

Article (with peer review)

Artificial intelligence, tasks, skills and wages: Worker-level evidence from Germany

Engberg, E., Koch, M., Lodefalk, M., & Schroeder, S.
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Publication year

2025

Published in

Research Policy

Abstract

As a first step, the study documents novel evidence on changes in tasks and skills within occupations in Germany over the past two decades. It further identifies a distinct relationship between ex ante occupational work content and ex post exposure to artificial intelligence (AI) and automation through robots. Workers in occupations with high AI exposure perform different activities and face different skill requirements than workers in occupations primarily exposed to robots, suggesting that AI and robots substitute for different types of tasks and skills. The study also shows that changes in the task and skill content of occupations are related to their initial exposure to these technologies. Finally, using individual labour market biographies, the analysis investigates the relationship between AI exposure and wages. By examining the dynamic effects of AI exposure over time, the study finds positive associations with wages, with nuanced differences across occupational groups, thereby providing further insight into the substitutability and augmentability of AI.

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