Guo S.Y., Fraser M.W. Propensity Score Analysis: Statistical Methods and Applications

2nd Edition. — Sage Publications, Inc., 2015. — 486 p. — (Advanced Quantitative Techniques in the Social Sciences 11). — ISBN: 978-1-4522-3500-4.Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysisprovides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application.Counterfactual Framework and Assumptions
Conventional Methods for Data Balancing
Sample Selection and Related Models
Propensity Score Matching and Related Models
Propensity Score Subclassification
Propensity Score Weighting
Matching Estimators
Propensity Score Analysis With Nonparametric Regression
Propensity Score Analysis of Categorical or Continuous Treatments:
Dosage Analyses
Selection Bias and Sensitivity Analysis
Concluding Remarks