Model Perspective
Sep 16, 2022 · Fundamentals
Why Adding Non‑Confounding Controls Can Boost Causal Estimates (And When They Hurt)
This article explains how adding covariates that are not confounders can reduce outcome variance and improve causal inference, while controlling for variables that only predict treatment may introduce selection bias and inflate estimation error.
Variance Reductioncausal inferencecontrol variables
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