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Who Benefits from Training Courses in Germany? Monetary Returns to Non-formal Further Education on a Segmented Labour Market

Bibliographic Data

ID2236068
AuthorsMartin Ehlert (0000-0002-8772-8058, WZB Berlin Social Science Center, corresponding author)
Year2017
Volume33
Issue3
Pages436-448
Publication date2017-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueEuropean Sociological Review (JOURNAL)
Journal identifiersISSN: 0266-7215 • E-ISSN: 1468-2672
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/esr/jcx042
OpenAlexW2591782369
LanguageEN
Citations received17
References cited24

While many advocate ‘lifelong learning’ as the ideal career model, its impact on workers’ lives is still partly unclear. Especially research on monetary returns to further education has yielded mixed evidence. I argue that a thorough assessment has to consider both the types of courses and the segmentation of labour markets. Using data from the German National Educational Panel Study, I test explanations of differing returns to non-formal further education in Germany, a country known for its highly segmented labour market. Results confirm that the returns to short non-formal training courses, which are the most common forms of further education in Germany, differ remarkably between types of courses and segments. Employer-mandated courses yield the highest returns, which is especially pronounced in internal labour markets. Furthermore, there are no returns on closed occupational labour markets. In occupations, where formal credentials are less important, returns to training are present. These results suggest that returns depend less on individual decisions to invest in training and more on the context. Hence, these findings go against human capital explanations and instead support implications of the Job Competition Model and Credentialism, which emphasize the importance of labour market structure.

Competition (biology) · Context (archaeology) · Economic growth · Economics · Formal education · German · Human capital · Human capital theory · Labour economics · Lifelong learning · Market segmentation · Microeconomics · Sociology · Training (meteorology) · Intergenerational and Educational Inequality Studies · Labor market dynamics and wage inequality · Youth Education and Societal Dynamics

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Unique citing works17
Citations per year1,89
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 16

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