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econ.EM2026
Testing Full Mediation of Treatment Effects and the Identifiability of Causal Mechanisms
Martin Huber, Kevin Kloiber, Lukáš Lafférs
In causal analysis, understanding the causal mechanisms through which an intervention or treatment affects an outcome is often of central interest. We propose a test to evaluate (i…
econ.EM2026
Testing Effect Homogeneity and Confounding in High-Dimensional Experimental and Observational Studies
Ana Armendariz, Martin Huber
We propose a framework for testing the homogeneity of conditional average treatment effects (CATEs) across multiple experimental and observational studies. Our approach leverages m…