Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium

Bart Cockx, Michael Lechner and Joost Bollens

Papers from arXiv.org

Abstract: Based on administrative data of unemployed in Belgium, we estimate the labour market effects of three training programmes at various aggregation levels using Modified Causal Forests, a causal machine learning estimator. While all programmes have positive effects after the lock-in period, we find substantial heterogeneity across programmes and unemployed. Simulations show that 'black-box' rules that reassign unemployed to programmes that maximise estimated individual gains can considerably improve effectiveness: up to 20 percent more (less) time spent in (un)employment within a 30 months window. A shallow policy tree delivers a simple rule that realizes about 70 percent of this gain.

Date: 2019-12, Revised 2022-12
New Economics Papers: this item is included in nep-big
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://arxiv.org/pdf/1912.12864 Latest version (application/pdf)

Related works:
Journal Article: Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium (2023)
Working Paper: Priority of Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium (2020)
Working Paper: Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium (2020)
Working Paper: Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium (2020)
Working Paper: Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium (2020)
Working Paper: Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium (2020)
Working Paper: Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium (2020)
Working Paper: Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium (2020)
Working Paper: Priority to Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1912.12864

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().