We analyse a model in which families may either be “traditional” single-earner with caring for the child at home or “modern” double-earner households using market child care. Family policies may favour either the one or the other group, like market care subsidies vs. cash for care....

We analyse the effect of a mandatory kindergarten for four-year-old children on mothers' labour supply in Switzerland. Since education policy is regulated on a federal level, we exploit spatial variation as well as staggered implementation. Using a difference-in-differences approach, we find an...

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...

We develop the case of two-stage least squares estimation (2SLS) in the general framework of Athey et al. (Generalized Random Forests, Annals of Statistics, Vol. 47, 2019) and provide a software implementation for R and C++. We use the method to revisit the classic application of instrumental...

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...