Labour market effects of retraining for the unemployed: the role of occupations
Thomas Kruppe and
Julia Lang
Applied Economics, 2018, vol. 50, issue 14, 1578-1600
Abstract:
We analyse the impact of retraining for unemployed low-skilled job-seekers in Germany. This extensive training programme leads to a formal vocational degree, which is often required to access certain professions. Applying statistical matching methods, we find that on average, after a period with large lock-in effects, retraining strongly increases the employment probability of participants, especially women. We add to the literature by estimating the employment effects for different occupations for which participants are trained. Our results show that there are substantial differences depending on the occupation. As the composition of trained occupations differs for men and women, segregation could be a driver of higher employment effects for women. However, comparisons of men and women trained for the same occupations reveal that even after controlling for segregation, women profit more from retraining. While caseworkers are instructed to choose professions with high labour demand, other aspects, such as working conditions, preferences and aptitudes of participants, should be crucial in the choice of a suitable occupation. An individual assessment of the suitability of an occupation could therefore improve the overall effectiveness of the programme.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2017.1368992 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Labour market effects of retraining for the unemployed: the role of occupations (2014) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:50:y:2018:i:14:p:1578-1600
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2017.1368992
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().