Propensity Score Methods and Applications (Quantitative Applications in the Social Sciences)
by M.H. Clark, Haiyan Bai
This volume in the Quantitative Applications in the Social Sciences series introduces propensity score methods to tackle selection bias in observational data. M.H. Clark and Haiyan Bai cover essential techniques like matching, stratification, and weighting, providing practical tools for causal inference in social research. Ideal for students and professionals seeking to strengthen their analytical approaches.
About This Book
Propensity Score Methods and Applications is part of the Quantitative Applications in the Social Sciences series, providing a focused introduction to key techniques for addressing selection bias in observational studies.
Authors M.H. Clark and Haiyan Bai explain the foundational concepts of propensity scores, including matching, stratification, and weighting approaches, to help researchers estimate causal effects more reliably.
The book emphasizes practical implementation, offering step-by-step guidance for applying these methods in real-world social science research scenarios.
Designed for graduate students and practitioners, it bridges theoretical principles with accessible examples to support robust quantitative analysis.
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