3 papers
stat.ME2026
Estimating Heterogeneous Causal Effects with Tree-Based Methods under Imperfect Compliance
Karolina Gliszczyńska-Schroeder
We study the impact of conditional complier average causal effect (CCACE) estimation methods on the performance of subgroup discovery and heterogeneous causal effect estimation und…
econ.EM2026
Kernel Balancing in Tree-based Methods
Karolina Gliszczyńska-Schroeder
Studying heterogeneous treatment effects has become essential in experimental and observational studies. A critical assumption for obtaining reliable treatment effect estimates is…
econ.EM2026
Median-based Splitting Rules for Causal Trees and Forests
Lennard Maßmann, Karolina Gliszczyńska-Schroeder
Heavy-tailed and skewed outcomes are common in the randomized experiments and observational studies used to estimate heterogeneous treatment effects, yet the mean-squared-error cri…