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considerably improve effectiveness: up to 20% more (less) time spent in (un)employment within a 30 months window. A shallow policy …
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We investigate heterogenous employment effects of Flemish training programmes. Based on administrative individual data, we analyse programme effects at various aggregation levels using Modified Causal Forests (MCF), a causal machine learning estimator for multiple programmes. While all...
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