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Counterfactuals and Causal Inference
Stephen L. Morgan
Christopher Winship
出版
Cambridge University Press
, 2015
主題
Mathematics / Probability & Statistics / General
Philosophy / General
Social Science / Methodology
Social Science / Research
Social Science / Sociology / General
ISBN
1107065070
9781107065079
URL
http://books.google.com.hk/books?id=Q6YaBQAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.