Causal Inference

Scott Cunningham is Ben H. Williams Professor of Economics at Baylor University. He writes and teaches widely on causal inference and maintains a site with news on upcoming workshops, updates to Causal Inference, and much else at Substack.

“A welcome update to Cunningham’s fun, comprehensive, and useful take on applied econometrics and the fascinating intellectual history of our discipline. The section on instrumental variables alone is worth the read.”—Joshua Angrist, Nobel Laureate in Economics“Causal Inference deserves a wide readership in all of the social sciences; it sets out the rise of a new paradigm for convincing empirical analysis.”—Orley Ashenfelter, Princeton University“The Mixtape shaped how many of us learn, teach, and talk about causal inference. This new “remixed” edition is a deeper, broader, and fully updated guide to applied econometrics that preserves the clarity, generosity, and unmistakable voice of the original. Cunningham reminds us that causal inference is not just a set of equations, but a way of listening carefully to the world.”—Peter Hull, Brown University“A long-awaited, revised, and expanded edition of a causal-inference classic, Causal Inference: The Remix offers both a superb introduction for newcomers and a valuable guide to the latest developments in the field for more seasoned readers.”—Alberto Abadie, MIT “Scott Cunningham brings modern causal inference to life with wit, clarity, and a genuine love for the craft. Written for novices and practicing researchers alike, this is the rare methods book that will earn a permanent spot on your desk. A must-have for anyone serious about causality.”—Guido Imbens, Nobel Laureate in Economics