Propensity score analysis : statistical methods and applications
著者
書誌事項
Propensity score analysis : statistical methods and applications
（Advanced quantitative techniques in the social sciences, v. 12）
Sage, c2010
- : cloth
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注記
Includes bibliographical references (p. 335-345) and indexes
Some impints: Series number 11 and 12 exist
内容説明・目次
内容説明
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.
目次
1. Introduction 2. Counterfactual Framework and Assumptions 3. Conventional Methods for Data Balancing 4. Sample Selection and Related Methods 5. Propensity Score Matching and Related Methods 6. Matching Estimators 7. Propensity Score Analysis with Nonparametric Regression 8. Selection Bias and Sensitivity Analysis 9. Concluding Remarks References Index
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