Counterfactuals and Causal Inference: Methods and Principles for Social Research
$68.00
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… [more below]
- Series: Analytical Methods for Social Research
- Author: Morgan, Stephen L.
- Binding: Paperback
- Page Count: 515
- Publish Date: November 17 2014
- ISBN10: 1107694167
- 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.
Author: Stephen L. Morgan, Christopher Winship
Binding Type: Paperback
Publisher: Cambridge University Press
Published: 11/17/2014
Series: Analytical Methods for Social Research
Pages: 515
Weight: 2.15lbs
Size: 9.90h x 6.80w x 1.20d
ISBN: 9781107694163
Language: English
| Author | Morgan, Stephen L. |
|---|---|
| Binding | |
| ISBN10 | 1107694167 |
| ISBN13 | 9781107694163 |
| Page Count | 515 |
| Published Date | November 17 2014 |
| Series | Analytical Methods for Social Research |
| Language |
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