eBook - ePub
Available until 17 Dec |Learn more
Propensity Score Analysis
Statistical Methods and Applications
This book is available to read until 17th December, 2025
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Available until 17 Dec |Learn more
About this book
Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides 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.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Propensity Score Analysis by Shenyang Guo,Mark W. Fraser in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Halftitle
- Advanced Quantitative Techniques in the Social Sciences
- Title
- Copyright
- Brief Contents
- Detailed Contents
- List of Tables
- List of Figures
- Dedication
- Preface
- About the Authors
- 1 Introduction
- 2 Counterfactual Framework and Assumptions
- 3 Conventional Methods for Data Balancing
- 4 Sample Selection and Related Models
- 5 Propensity Score Matching and Related Models
- 6 Propensity Score Subclassification
- 7 Propensity Score Weighting
- 8 Matching Estimators
- 9 Propensity Score Analysis With Nonparametric Regression
- 10 Propensity Score Analysis of Categorical or Continuous Treatments: Dosage Analyses
- 11 Selection Bias and Sensitivity Analysis
- 12 Concluding Remarks
- References
- Index
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