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.