Counterfactuals and Causal Inference : Methods and Principles for Social Research
2 Revised edition
Book Details
Format
Paperback / Softback
Book Series
Analytical Methods for Social Research
ISBN-10
1107694167
ISBN-13
9781107694163
Edition
2 Revised edition
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
US
Country of Publication
GB
Publication Date
Nov 17th, 2014
Print length
515 Pages
Weight
994 grams
Dimensions
25.40 x 17.90 x 2.90 cms
Product Classification:
Social research & statisticsProbability & statistics
Ksh 7,450.00
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Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.
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.
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