average treatment effect

Model Perspective

Sep 13, 2022 · Fundamentals

Why Linear Regression Is Surprisingly Powerful for Causal Inference

This article explains how linear regression can be used to estimate average causal effects, handle bias, and draw valid conclusions from both randomized experiments and observational data, while illustrating the theory with concrete examples and visualizations.