Career Progression and Formal Versus On-the-Job Training

Working Paper: CEPR ID: DP6087

Authors: Jerome Adda; Christian Dustmann; Costas Meghir; Jean-Marc Robin

Abstract: We develop a dynamic discrete choice model of training choice, employment and wage growth, allowing for job mobility, in a world where wages depend on firm-worker matches, as well as experience and tenure and jobs take time to locate. We estimate this model on a large administrative panel data set which traces labour market transitions, mobility across firms and wages from the end of statutory schooling. We use the model to evaluate the life-cycle return to apprenticeship training and find that on average the costs outweigh the benefits; however for those who choose to train the returns are positive. We then use our model to consider the long-term lifecycle effects of two reforms: One is the introduction of an Earned Income Tax Credit in Germany, and the other is a reform to Unemployment Insurance. In both reforms we find very significant impacts of the policy on training choices and on the value of realised matches, demonstrating the importance of considering such longer term implications.

Keywords: Administrative Data; Apprenticeship; Dynamic Discrete Choice; Education; Job Mobility; Job Search; Labour Supply; Matching; Tax Credits

JEL Codes: I2; J6


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
apprenticeship training (J24)wage growth (J31)
apprenticeship training (J24)job mobility (J62)
job mobility (J62)wage growth (J31)
policy reform (E69)training decisions (M53)
training decisions (M53)wage outcomes (J31)

Back to index