programmes at various aggregation levels using Modified Causal Forests, a causal machine learning estimator. While all programmes …

, we analyse programme effects at various aggregation levels using Modified Causal Forests (MCF), a causal machine learning …

We investigate the finite sample performance of causal machine learning estimators for heterogeneous causal effects at … processes (DGPs) based on actual data. We consider 24 different DGPs, eleven different causal machine learning estimators, and …

platform. Thereby, we leverage recent advances in the causal machine learning literature to estimate the causal effect of sport …

. This work investigates if machine learning algorithms for estimating the propensity score lead to more credible estimation … of the "first stage" is highly relevant for settings with low number of observations and few treated, machine learning …