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.
- ISBN13 9781107694163
- Publish Date 17 November 2014 (first published 1 January 2007)
- Publish Status Active
- Out of Print 9 September 2021
- Publish Country GB
- Imprint Cambridge University Press
- Edition 2nd Revised edition
- Format Paperback (US Trade)
- Pages 515
- Language English