Article 2017

Horizontal and vertical matches after apprenticeship training in Germany: On the impact of characteristics of the training occupation; Horizontale und vertikale Adäquanz im Anschluss an die betriebliche Ausbildung in Deutschland: Zur Bedeutung von Merkmalen des Ausbildungsberufs

Kolner Zeitschrift fur Soziologie und Sozialpsychologie
Journal · Vol. 69 · Issue 1 · pp. 79-107
Abstract

Graduates of the German dual system of vocational education and training differ in their chances of directly entering horizontally and vertically matching labour market positions. This article discusses how structural characteristics of training occupations impact such differences. I focus on three characteristics: the average training costs, the degree of occupational closure and how broadly applicable the qualifications are. Using data from the National Educational Panel Study (NEPS), I analyse the first labour market position for individuals who graduated from apprenticeship training between 1974 and 2004 in West Germany. I develop measures for occupational characteristics based on data from the BIBB Cost Benefit Studies and the BIBB/IAB Employment Surveys and merge these measures with the individual-level data. Applying multinomial logistic regression models, I simultaneously analyse the influence of the occupational characteristics on the probability to find employment in the first place and to reach horizontally and vertically matching positions. The results show that the occupational characteristics provide different opportunities within the training occupation but also within other occupations. The article, thus, helps us understand how occupational characteristics structure individual labour market chances and sheds light on the long-term consequences of unequal access to training occupations. © 2017, Springer Fachmedien Wiesbaden.

Keywords

Author Keywords

occupational specificity Labour market entry Occupational closure Training costs Training occupations Horizontal and vertical match

Index Keywords

Employment human cost benefit analysis logistic regression analysis probability model panel study market German Federal Republic
Author Affiliations
Wissenschaftszentrum Berlin fur Sozialforschung, Berlin, Berlin, Germany
Funding & Acknowledgements
No funding information
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