Causal Inference with Differences-in-Differences: Credible Answers to Hard Questions

A comprehensive, rigorous introduction to modern differences-in-differences (DiD) estimators, covering both standard practices and alternativesDifferences-in-differences (DiD) is one of the most widely used methods for impact-evaluation in economics and the social sciences.The key idea behind DiD is to compare outcomes trends for treated and control groups, allowing researchers to estimate the effects of policies or interventions when randomized experiments are not feasible.This book provides a clear and rigorous guide to modern DiD methods, covering both classical approaches and newer estimators developed for complex real-world settings.Designed for advanced undergraduate students, graduate students, and applied researchers, it explains when standard methods are reliable, when they can mislead, and how alternative approaches can provide more credible results.Throughout, theoretical discussion is paired with empirical applications, exercises using real datasets, and practical recommend