Analysis of microdata

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The rapid increase in the availability of microdata has led to more sophisticated modeling options in standard statistical and econometric software. This book, now in its second edition, aims to familiarize readers with a variety of commonly used models to help them become critical consumers of empirical research and conduct their own analyses. It serves as a textbook for advanced undergraduate, Master’s, or first-year Ph.D. courses on microdata analysis, typically offered after an introductory course on linear regression. Additionally, it can function as a supplementary text for applied field courses in areas such as labor, health, or education, and as a reference for graduate students, researchers, and practitioners working with microdata. The focus is on regression-type models within large cross-section samples, particularly when the dependent variable is qualitative or discrete, or when the sample is not randomly drawn due to issues like censoring or truncation. While grounded in economics and occasionally referencing empirical economics problems, the models discussed are relevant across social sciences, including quantitative political science and sociology, as well as other fields utilizing microdata.