Evaluation of Further Training Programmes with an Optimal Matching Algorithm

This paper evaluates the effects of further training on the unemployment duration of different groups of persons representing individual characteristics and some aspects of the economic environment. The Micro Census Saxony enables us to include the employment history as a proxy for unobserved variables and to avoid Ashenfelters Dip. We employ an optimal full matching assignment, which is superior to greedy pair matching in the sense that it avoids the loss of observations due to the design of the algorithm. Overall, we find empirical evidence that participation in further training programmes results in even longer unemployment, with only gradual differences.

27. February 2005

Authors Eva Reinowski Birgit Schultz Jürgen Wiemers

Whom to contact

For Researchers

For Journalists

Mitglied der Leibniz-Gemeinschaft LogoTotal-Equality-LogoWeltoffen Logo