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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Counterfactuals and Causal Inference

Counterfactuals and Causal Inference

Morgan, Stephen L.
Winship, Christopher

Paperback

Series: Analytical Methods for Social Research

General SociologyProbability & Statistics

ISBN10: 1107694167
ISBN13: 9781107694163
Publisher: Cambridge University Press
Published: Nov 17 2014
Pages: 515
Weight: 2.15
Height: 1.20 Width: 6.80 Depth: 9.90
Language: English
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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