Written by true 'masters of 'metrics ' this book is perfect for those who wish to study this
important subject. Using real-world examples and only elementary statistics Angrist and
Pischke convey the central methods of causal inference with clarity and wit.--Hal Varian chief
economist at Google With humor and rigor this book explores key approaches in applied
econometrics. The authors present accessible interesting examples--using data-heavy figures
and graphic-style comics--to teach practitioners the intuition and statistical understanding
they need to become masters of 'metrics. A must-read for anyone using data to investigate
questions of causality!--Melissa S. Kearney University of Maryland and the Brookings
Institution This valuable book connects the dots between mathematical formulas statistical
methods and real-world policy analysis. Reading it is like overhearing a conversation between
two grumpy old men who happen to be economists--and I mean this in the best way
possible.--Andrew Gelman Columbia University Modern econometrics is more than just a set of
statistical tools--causal inference in the social sciences requires a careful inquisitive
mindset. Mastering 'Metrics is an engaging fun and highly accessible guide to the paradigm of
causal inference.--David Deming Harvard University Few fields of statistical inquiry have seen
faster progress over the last several decades than causal inference. With an engaging
insightful style Angrist and Pischke catch readers up on five powerful methods in this area.
If you seek to make causal inferences or understand those made by others you will want to
read this book as soon as possible.--Gary King Harvard University Posing several well-chosen
empirical questions in social science Mastering 'Metrics develops methods to provide the
answers and applies them to interesting datasets. This book will motivate beginning students to
understand econometrics with an appreciation of its strengths and limits.--Gary Chamberlain
Harvard University Focusing on five econometric tools Mastering 'Metrics presents key
econometric concepts. Any field that uses statistical techniques to conduct causal inference
will find this book useful.--Melvyn Weeks University of Cambridge
