Everybody’s got to learn sometime? A causal machine learning evaluation of training programmes for jobseekers in France
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DOI: 10.1016/j.labeco.2024.102573
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Cited by:
- Federica Mascolo & Nora Bearth & Fabian Muny & Michael Lechner & Jana Mareckova, 2024. "The Heterogeneous Effects of Active Labour Market Policies in Switzerland," Papers 2410.23322, arXiv.org.
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More about this item
Keywords
Policy evaluation; Active labour market policy; Continuing vocational training; Causal machine learning; Causal forest; Conditional average treatment effects;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
- J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
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