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Digital skill adoption and employment dynamics: evidence from matched vacancy-employer–employee data

Abstract:
This paper examines the interplay between firms’ investments in digital skills and employment dynamics within the Danish labor market. We employ novel digital skill demand measures derived from online job postings using natural language processing techniques. We document a strong positive correlation between demand for digital skills, particularly in data science and AI, and firm productivity. Using dynamic lead–lag models, we estimate a positive relationship between digital skill investments and firm-level employment. This positive association is broad-based across demographic groups, and is stronger in certain occupations when specifically considering data science and AI skills. While digitalization drives job creation and productivity gains overall, the workforce impacts of specific technologies are heterogeneous. Our results suggest that digitalization, and particularly data science and AI adoption, may amplify existing labor market disparities across occupations, industries, and regions.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.respol.2026.105476

Authors

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Institution:
University of Oxford
Division:
SSD
Department:
Economics
Oxford college:
Nuffield College
Role:
Author
ORCID:
0000-0002-7894-7662


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Funder identifier:
https://ror.org/00c1h4g48


Publisher:
Elsevier
Journal:
Research Policy More from this journal
Volume:
55
Issue:
5
Article number:
105476
Publication date:
2026-03-19
Acceptance date:
2026-03-10
DOI:
EISSN:
1873-7625
ISSN:
0048-7333


Language:
English
Keywords:
Pubs id:
2391982
Local pid:
pubs:2391982
Deposit date:
2026-03-19
ARK identifier:

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