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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 : Second editionView all editions and formats
Summary:
"In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such  Read more...
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Details

Document Type: Book
All Authors / Contributors: Stephen L Morgan; Christopher Winship
ISBN: 9781107065079 1107065070 9781107694163 1107694167
OCLC Number: 890080248
Notes: Revised edition of the authors' Counterfactuals and causal inference, published in 2007.
Description: xxiii, 499 pages : illustrations ; 26 cm.
Contents: List of figures --
List of tables --
Acknowledgments for first edition --
Acknowledgments for second edition --
I. Causality and empirical research in the social sciences. Introduction --
II. Counterfactuals, potential outcomes, and causal graphs. Counterfactuals and the potential outcome model --
Causal graphs --
III. Estimating causal effects by conditioning on observed variables to block back-door paths --
Matching estimators of causal effects --
Regression estimators of causal effects --
Weighted regression estimators of causal effects --
IV. Estimating causal effects when back-door conditioning is ineffective. Self-selection, heterogeneity, and causal graphs --
Instrumental variable estimators of causal effects --
Mechanisms and causal explanation --
Repeated observations and the estimation of causal effects --
V. Estimation when causal effects are not point-identified by observables. Distributional assumptions, set identification, and sensitivity analysis --
VI. Conclusions. Counterfactuals and the future of empirical research in observational social science --
References --
Index.
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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