Causal Inference

An expanded, fully revised edition of a leading econometrics text, offering deeper coverage, new methods, and accessible guidance on the core tools of causal inferenceCausal 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...

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