Counterfactuals and Causal Inference (Analytical Methods for Social Research) Cover Image
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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.

Product Details
ISBN: 9781107694163
ISBN-10: 1107694167
Publisher: Cambridge University Press
Publication Date: January 15th, 2015
Pages: 515
Language: English
Series: Analytical Methods for Social Research