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Counterfactuals and causal inference : methods and principles for social research

Author: Stephen L Morgan; Christopher Winship
Publisher: New York, NY : Cambridge University Press, 2015.
Series: Analytical methods for social research
Edition/Format:   Print book : English : 2. edView all editions and formats
Summary:
Machine generated contents note: Part I. Causality and Empirical Research in the Social Sciences: 1. Introduction; Part II. Counterfactuals, Potential Outcomes, and Causal Graphs: 2. Counterfactuals and the potential-outcome model; 3. Causal graphs; Part III. Estimating Causal Effects by Conditioning on Observed Variables to Block Backdoor Paths: 4. Models of causal exposure and identification criteria for
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Stephen L Morgan; Christopher Winship
ISBN: 9781107065079 1107065070 9781107694163 1107694167
OCLC Number: 897146492
Notes: Revised edition of the authors' Counterfactuals and causal inference, published in 2007. - Includes bibliographical references and index.
Description: pages cm.
Contents: Part I. Causality and Empirical Research in the Social Sciences: 1. Introduction; Part II. Counterfactuals, Potential Outcomes, and Causal Graphs: 2. Counterfactuals and the potential-outcome model; 3. Causal graphs; Part III. Estimating Causal Effects by Conditioning on Observed Variables to Block Backdoor Paths: 4. Models of causal exposure and identification criteria for conditioning estimators; 5. Matching estimators of causal effects; 6. Regression estimators of causal effects; 7. Weighted regression estimators of causal effects; Part IV. Estimating Causal Effects When Backdoor Conditioning is Ineffective: 8. Self-selection, heterogeneity, and causal graphs; 9. Instrumental-variable estimators of causal effects; 10. Mechanisms and causal explanation; 11. Repeated observations and the estimation of causal effects; Part V. Estimation When Causal Effects Are Not Point Identified by Observables: 12. Distributional assumptions, set identification, and sensitivity analysis; Part VI. Conclusions: 13. Counterfactuals and the future of empirical research in observational social science.
Series Title: Analytical methods for social research
Responsibility: Stephen L. Morgan, Christopher Winship.

Abstract:

This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.  Read more...

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'The use of counterfactuals for causal inference has brought clarity to our reasoning about causality. And this second edition by Morgan and Winship will bring clarity to anyone trying to learn about Read more...

 
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