The econometrics literature proposed several new causal machine learning methods (CML) in the past few years. These methods harness the strength of machine learning methods to flexibly model the relationship between the treatment, outcome and confounders, while providing valid inferential...

This study estimates the establishment-level employment effects of investment grants in Germany. In addition to the average treatment effect on the treated, we analyse the influence of establishment’s characteristics and economic environment on the magnitude of the effect. We apply a...

We propose a general protocol for calibration and validation of complex simulation models by an approach based on discovery and comparison of causal structures. The key idea is that configurations of parameters of a given theoretical model are selected by minimizing a distance index between two...

This study estimates the establishment-level employment effects of investment grants in Germany. In addition to the average treatment effect for the treated, we focus on discrimination in the funding rules as potential source of effect heterogeneity. We combine the difference-in-differences...