Propensity Score Methods and Applications (eBook)

Haiyan Bai, M. H. Clark (Autoren)

eBook Download: PDF

2018
136 Seiten
Sage Publications, Inc (Verlag)
978-1-5063-7806-0 (ISBN)

Inhalt

Series Editor’s Introduction
About the Authors
Acknowledgments
1. Basic Concepts of Propensity Score Methods
1.1 Causal Inference
1.2 Propensity Scores
1.3 Assumptions
1.4 Summary of the Chapter
2. Covariate Selection and Propensity Score Estimation
2.1 Covariate Selection
2.2 Propensity Score Estimation
2.3 Summary of the Chapter
2.4 An Example
3. Propensity Score Adjustment Methods
3.1 Propensity Score Matching
3.2 Other Propensity Score Adjustment Methods
3.3 Summary of the Chapter
3.4 An Example
4. Covariate Evaluation and Causal Effect Estimation
4.1 Evaluating the Balance of Covariate Distributions
4.2 Causal Effect Estimation
4.3 Sensitivity Analysis
4.4 Summary of the Chapter
4.5 An Example
5. Conclusion
5.1 Limitations of the Propensity Score Methods and How to Address Them
5.2 Summary of Propensity Score Procedures
5.3 Final Comments
References
Index

Produkt-Details

• Reihe/Serie: Quantitative Applications in the Social Sciences
• Reihe/Serie: Quantitative Applications in the Social Sciences
• Verlagsort: Thousand Oaks
• Sprache: englisch
• Themenwelt: Naturwissenschaften
• Themenwelt: Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
• Schlagworte: Evaluation • Propensity Score Matching • PSM • Quantitative Methods • Statistical Research
• ISBN-10: 1-5063-7806-4 / 1506378064
• ISBN-13: 978-1-5063-7806-0 / 9781506378060