Active labor market policies for the long-term unemployed : new evidence from causal machine learning
Daniel Goller, Michael Lechner, Tamara Pongratz, Joachim Wolff
| Year of publication: |
2025
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| Authors: | Goller, Daniel ; Lechner, Michael ; Pongratz, Tamara ; Wolff, Joachim |
| Published in: |
Labour economics : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0927-5371, ZDB-ID 1497058-2. - Vol. 94.2025, Art.-No. 102729, p. 1-17
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| Subject: | Active labor market programs | Conditional average treatment effect (CATE) | Policy evaluation | Arbeitsmarktpolitik | Labour market policy | Wirkungsanalyse | Impact assessment | Kausalanalyse | Causality analysis | Langzeitarbeitslosigkeit | Long-term unemployment | Künstliche Intelligenz | Artificial intelligence | Arbeitslosigkeit | Unemployment | OECD-Staaten | OECD countries |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.labeco.2025.102729 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015405296