Counterfactuals and Causal Inference

Açıklama

"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"--

• Causation
• Research
• Methodology
• Social sciences
• Social sciences, research
• Social sciences, methodology
• MATHEMATICS / Probability & Statistics / General
• H62 .m646 2015
• 300.72
• Mat029000

Baskılar ve ISBN

2007

Cambridge University Press · İngilizce
ISBN 9780511349263

2007

Cambridge University Press · İngilizce
ISBN 9780511350122

2007

Cambridge University Press · İngilizce
ISBN 9780511348297

2007

Cambridge University Press · İngilizce
ISBN 9780511346354