Identifying total causal effects in linear models under partial homoscedasticity

David Strieder, Mathias Drton

Abstract: Highlights•We demonstrate that partial homoscedasticity is sufficient to generically identify total causal effects.•We construct rigorous confidence regions for total causal effects under structure uncertainty.•We evaluate the performance gained by relying on stricter error assumptions in a simulation study.