Causal Inference
The Remix
Format:Paperback
Publisher:Yale University Press
Published:4th Aug '26
Should be back in stock very soon
An expanded, fully revised edition of a leading econometrics text, offering deeper coverage, new methods, and accessible guidance on the core tools of causal inference
Causal inference—a cornerstone of statistics and the social sciences, particularly economics—helps us determine whether one event truly causes another.
The Remix expands on Scott Cunningham’s widely used Causal Inference: The Mixtape, providing a strong foundation in econometrics through accessible explanations of key design-based methods: unconfoundedness approaches, instrumental variables, regression discontinuity, and advanced panel techniques such as fixed effects, difference-in-differences, and synthetic control.
This new edition adds major updates, including an extended treatment of difference-in-differences—from core concepts to advanced topics like staggered adoption and covariate adjustment—as well as fuller discussions of synthetic control, more empirical examples, and clearer pathways for readers to engage with cutting-edge methods.
Written in a conversational, encouraging style, the book welcomes readers of all levels, offering breadcrumbs that connect concepts and deepen understanding. Whether you are new to causal inference or seeking to refine your tool kit, The Remix serves as both companion and manual for mastering the field’s central principles and methods.
“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
ISBN: 9780300272444
Dimensions: unknown
Weight: unknown
784 pages
2nd Revised edition