Data Science, Statistics, Analytics, Experiment, Causality.
fitted values of Y to predict Z. Conceptually, we change Y so that only the edge X → Y is accounted for, breaking the edge U → Y. The whole concept can seem odd, but think about it: how do we interpret IV if X is a perfect predictor of Y? That’s an A/B test! Instrumental variables are “imperfect