Software We make the software developed available for public use free of charge. When using it, please cite the corresponding paper. KNAUS (2020): Double machine learning based program evaluation under unconfoundedness (link: https://arxiv.org/abs/2003.03191). R-package causalDML (link: https://github.com/MCKnaus/causalDML) LECHNER (2018): Causal machine learning estimator to estimate mean effects at different aggregation levels as discussed in my paper Modified Causal Forest (link: https://arxiv.org/abs/1812.09487). The most recent Python version is available on PyPI (link: https://pypi.org/project/mcf/) (pip install mcf). LECHNER, HUBER, STEINMAYR (2012): RADIUSMATCH: Stata module to perform distance-weighted radius matching with bias adjustment (link: https://econpapers.repec.org/software/bocbocode/s457575.htm). This module should be installed from within Stata by typing "ssc install radiusmatch". Please do not hesitate to contact us in case of any questions.