Scott Cunningham is professor of economics at Baylor University. He is also coeditor of The Oxford Handbook of the Economics of Prostitution.
“A new guide to methods for determining cause and effect in the
social sciences. In summarising, systematising and prioritising
methodological tools for researchers, this book will be of use to
all social scientists looking to validate their quantitative
findings.”—Simeon Mitropolitski, LSE Review of Books
“Causation versus correlation has been the basis of
arguments—economic and otherwise—since the beginning of time.
Causal Inference: The Mixtape uses legit real-world examples that I
found genuinely thought-provoking. It’s rare that a book prompts
readers to expand their outlook; this one did for me.”—Marvin Young
(Young MC)
“Cunningham’s brilliant book is that rare statistical treatise
written for students and practitioners alike. Engaging language and
vivid examples bring the tools of causal inference to a broad
audience. Read the book, absorb its lessons, and you’ll develop the
skills you need to credibly assess whether a statistics class, a
public policy, or a new business practice truly makes a
difference.”—Justin Wolfers, University of Michigan
“Accessible and engaging. An excellent introduction to the
statistics of causal inference.”—Alberto Abadie, MIT
“Learning about causal effects is the main goal of most empirical
research in economics. In this engaging book, Scott Cunningham
provides an accessible introduction to this area, full of wisdom
and wit and with detailed coding examples for practitioners.”—Guido
Imbens, coauthor of Causal Inference
“This book will probably shock economics instructors with the
clarity, insights, and tools that modern graphical models introduce
to the teaching of econometrics. The benefits will outlast the
shock.”—Judea Pearl, University of California, Los Angeles
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