7. Propensity Score Analysis with Nonparametric Regression
8. Selection Bias and Sensitivity Analysis
9. Concluding Remarks References Index.
(source: Nielsen Book Data)
Propensity Score Matching provides readers with a systematic review of the origins, history, and statistical foundations of PSM and illustrates how to use PSM methods for solving evaluation problems. With a strong focus on practical applications, the authors explore various types of data and evaluation problems, strategies for using the methods, and the limitations of PSM. Unlike the existing textbooks on program evaluation, Guo and Fraser's Propensity Score Matching delves into statistical concepts, formulas, and models underlying the application of PSM. (source: Nielsen Book Data)