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Automation risks of vocational training programs and early careers in the Netherlands

Bibliographic Data

ID2301418
AuthorsAlexander Dicks (0000-0002-0253-9021, WZB Berlin Social Science Center, corresponding author), Annemarie Künn-Nelen (Maastricht University), Annemarie Künn‐nelen (0000-0001-5508-5812, Maastricht School of Management), Mark Levels (0000-0002-7516-3926, Maastricht University), Raymond Montizaan (0000-0002-6758-2522, Maastricht University)
Year2024
Volume67
Issue4
Pages507-528
Publication date2024-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueActa Sociologica (JOURNAL)
Journal identifiersISSN: 0001-6993 • E-ISSN: 1502-3869
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/00016993241250277
OpenAlexW4398145198
LanguageEN
References cited56

In this article, we study the role of automation risks in the school-to-work transition (STWT) of secondary vocational education (VET) graduates in the Netherlands. We use a combination of administrative and survey data, enriched with estimates of automation risks. Using sequence analysis, we find four ideal-type school-to-work trajectories representing the first 10 years in the labor market: employment, further education, further VET, and NEET. Multinomial regressions show that automation risk is not consistently associated with the type of school-to-work trajectory. We also investigate the relation between automation risk and starting wages and wage growth. We find that automation risk is negatively associated with starting wages, but not with wage growth

Automation · Business · Engineering management · Geography · Medical education · Operations management · Pedagogy · Training (meteorology · Vocational education · Computer Science · Employment and Welfare Studies · Engineering · Labor market dynamics and wage inequality · Mechanical Engineering · Medicine · Psychology · Vocational Education and Training

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