Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium
Bart Cockx,
Michael Lechner and
Joost Bollens
No 6, ROA Research Memorandum from Maastricht University, Research Centre for Education and the Labour Market (ROA)
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% more (less) time spent in (un)employment within a 30 months window. A shallow policy tree delivers a simple rule that realizes about 70% of this gain.
JEL-codes: J68 (search for similar items in EconPapers)
Date: 2020-05-12
New Economics Papers: this item is included in nep-big and nep-eur
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
https://cris.maastrichtuniversity.nl/ws/files/48078430/ROA_RM_2020_6.pdf (application/pdf)
Related works:
Journal Article: Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium (2023) 
Working Paper: Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium (2022) 
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 (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:unm:umaror:2020006
DOI: 10.26481/umaror.2020006
Access Statistics for this paper
More papers in ROA Research Memorandum from Maastricht University, Research Centre for Education and the Labour Market (ROA) Contact information at EDIRC.
Bibliographic data for series maintained by Andrea Willems () and Leonne Portz ().