Comparing Two Proxy Methods for Causal Identification
arXiv:2512.00175v3 Announce Type: replace-cross
Abstract: Identifying causal effects in the presence of unmeasured variables is a fundamental challenge in causal inference, for which proxy variable methods have emerged as a powerful solution. We contr…