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Counterfactuals and causal inference : methods and principles for social research

Author: Stephen L Morgan; Christopher Winship
Publisher: New York : Cambridge University Press, 2007.
Series: Analytical methods for social research.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
Summary:
"In this book, the counterfactual model of causality for observational data analysis is presented, and methods for causal effect estimation are demonstrated using examples from sociology, political science, and economics."--Jacket.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Stephen L Morgan; Christopher Winship
ISBN: 9780521856157 0521856159 9780521671934 0521671930
OCLC Number: 78063574
Description: xiii, 319 p. : ill. ; 23 cm.
Contents: Part I. Counterfactual Causality and Empirical Research in the Social Sciences --
1. Introduction --
2. The counterfactual model; Part II. Estimating Causal Effects by Conditioning --
3. Causal graphs, identification, and models of causal exposure --
4. Matching estimators of causal effects --
5. Regression estimators of causal effects --
Part III. Estimating Causal Effects When Simple Conditioning is Ineffective --
6. Identification in the absence of a complete model of causal exposure --
7. Natural experiments and instrumental variables --
8. Mechanisms and causal explanation --
9. Repeated observations and the estimation of causal effects --
Part IV. Conclusions --
10. Counterfactual causality and future empirical research in the social sciences.
Series Title: Analytical methods for social research.
Responsibility: Stephen L. Morgan and Christopher Winship.
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Abstract:

The essential features of the counterfactual model of causality for observational data analysis are presented with examples.  Read more...

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"This book is the first representative of a growing surge of interest among social scientists and economists to reclaim their professions from the tyrany of regression analysis and address Read more...

 
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