This dataset includes a sample dataset and replication code for the proposed subclassification weights, used in combination with the Horvitz-Thompson, Ratio, and Doubly Robust estimators.
Quantile treatment effects (QTEs) characterize different causal effects of treatment on outcome distribution. Propensity score (PS) methods are commonly employed for estimating QTEs in non-randomized
Criteo Uplift Modeling Dataset, preprocessed and balanced for classification / clustering task From the website: ----- Data description This dataset is constructed by assembling data resulting from s
A small discrete choice experiment (DCE) conducted among participants of a course on Monte Carlo simulation methods in the social sciences at the LMU Munich in the winter semester 2021/2022. It is use
