Machine Learning, Causal Inference, Data Science, Deep Dives, Notes From Industry.
controlling for confounders reduces “noisy” variation in our treatment variable and changes the effect size. In the plot, you can see the “naive” approach in blue. This is simply plotting log-quantity against log-price, without controlling for confounders (i.e., confusing correlation and