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.
Cambridge University Press (Virtual Publishing)
|Country of origin:
||Analytical Methods for Social Research
Stephen L. Morgan
• Christopher Winship
||Electronic book text
||2nd Revised edition
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!