Data Science, Statistics, Analytics, Experiment, Causality.
section has been left for last because it takes a completely different approach Much of the literature on instrumental variables (IV) are super confusing, but a DAG makes the intuition super clear. In the above example, we want to estimate the causal effect of Y on Z. However, U is an unobserved