Classifying vocational training markets

Faculty/Professorship: Regional Labour Economics  ; Longitudinal Education Research  
Author(s): Kleinert, Corinna  ; Vosseler, Alexander; Blien, Uwe
Title of the Journal: The annals of regional science : an international journal of urban, regional and environmental research and policy
ISSN: 0570-1864
Publisher Information: Berlin ; Heidelberg : Springer
Year of publication: 2018
Volume: 61
Pages: 31-48
Language(s): English
DOI: 10.1007/s00168-017-0856-z
The German educational system is characterized by a large sector of dual vocational training, which facilitates integration into the labour market. This system creates a specific training market for school leavers, which is characterized by strong regional disparities. These differences as well as their consequences have not been systematically analysed in previous research. In a theory-guided analysis this paper examines empirically which structural ‘handicaps’ affect regional transition rates from school to training and how regional training markets may be classified according to these structural factors. To this end, a new method is applied which combines regression and cluster analysis to avoid arbitrariness in the selection of classification variables. It generates a well interpretable classification of vocational education markets, which is of broad use in research and labour market policy. The method may be applied to solve a broad variety of similar research problems in regional science.
Peer Reviewed: Ja
International Distribution: Ja
Type: Article
Year of publication: 22. February 2018