Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium
Labour Economics(2023)
Abstract
•Which training programme works best for whom, and how to improve assignment?•Causal machine learning provides methods to answer these questions.•Substantial effect heterogeneity is found for programmes for unemployed in Belgium.•By programme re-assignment, unemployed gain more than one month of employment.•Simple and transparent policy rules realise about 85% of this gain.
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Key words
Policy evaluation,Active labour market policy,Causal machine learning,Modified causal forest,Conditional average treatment effects
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