Tag: shared

Double Machine Learning for Causal Inference under Shared-State Interference arXiv:2504.08836v1 Announce Type: new Abstract: Researchers and practitioners often wish to measure treatment effects in settings where units interact via markets and recommendation systems. In these settings, units are affected by certain shared states, like prices, algorithmic recommendations or social signals. We formalize this structure, calling…