Regression discontinuity analysis is often a disaster. So what should you do instead? Here’s my recommendation:

Summary If you have an observational study with outcome y treatment variable z and pre-treatment predictors X, and treatment assignment depends only on X, then you can estimate the average causal effect by regressing y on z and X and looking at the coefficient of z. If there is lack of complete overlap in X …