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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"--
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Previews available in: English
Subjects
Causation, Research, Methodology, Social sciences, Social sciences, research, Social sciences, methodology, MATHEMATICS / Probability & Statistics / General, Social sciences--research, Social sciences--methodology, Mathematics--probability & statistics--general, H62 .m646 2015, 300.72, Mat029000, MATHEMATICS, Probability & Statistics, GeneralShowing 3 featured editions. View all 11 editions?
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1
Counterfactuals and Causal Inference
2015, Cambridge University Press
Paperback
in English
- Second Edition
1107694167 9781107694163
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2
Counterfactuals and Causal Inference: Methods and Principles for Social Research
2007, Cambridge University Press
in English
0511346352 9780511346354
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3
Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
July 30, 2007, Cambridge University Press
Hardcover
in English
- 1 edition
0521856159 9780521856157
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