Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/182117 
Year of Publication: 
2018
Series/Report no.: 
GLO Discussion Paper No. 250
Publisher: 
Global Labor Organization (GLO), Maastricht
Abstract: 
We propose a regression-adjusted matched difference-in-differences framework to estimate non-pecuniary returns to adult education. This approach combines kernel matching with entropy balancing to account for selection bias and sorting on gains. Using data from the German SOEP, we evaluate the effect of work-related training, which represents the largest portion of adult education in OECD countries, on individual social capital. Training increases participation in civic, political, and cultural activities while not crowding out social participation. Results are robust against a variety of potentially confounding explanations. These findings imply positive externalities from work-related training over and above the well-documented labor market effects.
Subjects: 
non-pecuniary returns
social capital
work-related training
matched difference-in-differences approach
entropy balancing
JEL: 
J24
I21
M53
Document Type: 
Working Paper

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