I investigate causal machine learning (CML) methods to estimate effect heterogeneity by means of conditional average treatment effects (CATEs). In particular, I study whether the estimated effect heterogeneity can provide evidence for the theoretical labour supply predictions of Connecticut's...

We analyse the effect of a mandatory kindergarten for four-year-old children on maternal labour supply in Switzerland by using two quasi-experiments: Firstly, we use a large administrative dataset and apply a non-parametric Regression Discontinuity Design to evaluate the effect of the reform at...

This paper examines the effect of an expansion of subsidized early child care on maternal labor market outcomes. It contributes to the literature by analyzing, apart from the employment rate and agreed working hours, preferred working hours. Semi-parametric difference-in-differences estimation...

Impact Evaluation of the Brazilian Social Programs on Family Welfare Key-words: impact evaluation; cash transfer; public policy; labor supply; child labor; school attendance. This study uses an impact evaluation methodology to analyze the non-contributory pension program BPC on family welfare....