Counterfactuals and Causal Inference
Methods and Principles for Social Research 2nd Edition
By Stephen L. Morgan, Christopher Winship | Publisher: Cambridge University Press
About the book
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 as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.
Editions of Counterfactuals and Causal Inference
- Hardcover
- ISBN 9781107065079
- Paperback
- ISBN 9781107694163
Read an Excerpt
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 as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.
Frequently Asked Questions
What is Counterfactuals and Causal Inference about?
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 as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.
What core themes, tropes, or subjects are explored in Counterfactuals and Causal Inference?
Society and Social Sciences > Sociology and anthropology > Sociology > Social research and statistics
Where can I read a sample of Counterfactuals and Causal Inference?
You can read an official preview of the few pages here https://www.book2look.com/book/9781107065079
Is Counterfactuals and Causal Inference part of a series, and can it be read as a standalone?
Yes it is a part of series Analytical Methods for Social Research
Who is/are the Author/s of the book Counterfactuals and Causal Inference?
Stephen L. Morgan, Christopher Winship
What are the ISBN numbers for the physical and digital editions?
Counterfactuals and Causal Inference is available as hardcover(ISBN 9781107065079) and paperback(ISBN 9781107694163)