Causal Inference

Causal Inference offers a clear, nontechnical overview of the core concepts behind modern causal analysis, using real-world examples from fields such as health, economics, and public policy. The book explores topics like randomized experiments, natural experiments, and statistical methods, illustrating how these tools help answer questions about what causes what in various domains. Through engaging examples, it demonstrates how causal inference informs decisions and understanding across multiple disciplines.