A two-period double machine learning evaluation of Swiss labor market programs finds temporary wage subsidies the most effective programs when modeled as dynamic policies.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
econ.EM 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies
A two-period double machine learning evaluation of Swiss labor market programs finds temporary wage subsidies the most effective programs when modeled as dynamic policies.