It is valuable for any decision maker to know the impact of decisions (treatments) on average and for subgroups. The causal machine learning literature has recently provided tools for estimating group
The dataset is created for CausalTriplet, an intervention-centric causal representation learning benchmark. Each instance in the dataset comprises a pair of images captured before and after a high-lev
Data and code for Exploring the Mechanism of Path-Creating Strategy for Latecomers: A Combined Approach of Econometrics and Causal Machine Learning 1. feature_data.csv is the original feature da
This collection includes four well-known datasets used to benchmark causal machine learning algorithms. The datasets are: IHDP [1], News [2], Twins [3], Jobs [4].References[1] J. L. Hill, ‘Bayesian No
