COUNTERFACTUALS AND CAUSAL INFERENCE

In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the count erfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alt ernative estimation techniques are first introduced using both the potential outcome model and causal graphs/ after which, condition ing techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in whic h import...[Read more]