Propensity score analysis : statistical methods and applications
Author(s)
Bibliographic Information
Propensity score analysis : statistical methods and applications
（Advanced quantitative techniques in the social sciences, v. 12）
Sage, c2010
- : cloth
Available at / 55 libraries
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Japan International Research Center for Agricultural Sciences Library
: cloth361.9||Guo||||図書館190000122006
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Library, Institute of Developing Economies, Japan External Trade Organization図
: clothT||311||P11802774
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Note
Includes bibliographical references (p. 335-345) and indexes
Some impints: Series number 11 and 12 exist
Description and Table of Contents
Description
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.
Table of Contents
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
by "Nielsen BookData"