(Unlimited ebook) Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)

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Description :
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. em
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