"Mastering 'Metrics" explores the essential methods of applied econometrics, known as "'metrics," for uncovering causal relationships in human affairs using statistical analysis. The book explains core econometric tools through accessible discussions and real-world examples, such as analysing the impact of health insurance or the returns to education. It emphasises techniques like random assignment, instrumental variables, regression discontinuity, and differences-in-differences to address the challenge of selection bias and isolate causal effects. Ultimately, the text demonstrates the power and practical relevance of econometrics in understanding cause and effect in various domains.

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