Counterfactuals and Causal Inference (2nd ed.)

Methods and Principles for Social Research

by Stephen L. Morgan, Christopher Winship

Series: Analytical Methods for Social Research

Subject categories
ISBNs
  • 9781107065079
  • 9781316164440
  • 9781316163986
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.

Subject categories
ISBNs
  • 9781107065079
  • 9781316164440
  • 9781316163986

In The Press

'The use of counterfactuals for causal inference has brought clarity to our reasoning about causality. And this second edition by Morgan and Winship will bring clarity to anyone trying to learn about the field. It is an excellent introduction to the topic, and a fine place to begin learning causal inference.' Tyler J. VanderWeele, Harvard University, Massachusetts