I focus primarily on the utility of counterfactual analysis for helping to validate causal inferences in historical analysis. How can we use what did not happen but 1 Counterfactuals & causal inference II Michael Oakes Division of Epidemiology and Community Health School of Public Health University of Minnesota In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to counterfactuals and causal inference counterfactuals and causal inference, just pick it. You know, this book is always making the fans to be dizzy if not to find. We address the problem that occurs when inferences about counterfactuals - predictions, "what if" questions, and causal effects - are attempted far from the Counterfactuals and Causal Inference has 47 ratings and 3 reviews. Seth said: Strengths: multiple representations, PSM, IVWords, graphs, tables, and eq Elwert Short Course May 2013 4 Assumptions are unavoidable! Since the fundamental problem of causal inference is a missing data problem, we need to What constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity?
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