Introduction to probabilities, graphs, and causal models -- Theory of inferred causation -- Causal diagrams and the identification of causal effects -- Actions, plans, and direct effects -- Causality and structural models in social science and economics -- Simpson's paradox, confounding, and collapsibility -- Logic of structure-based counterfactuals -- Imperfect experiments: bounding effects and counterfactuals -- Probability of causation: interpretation and identification -- Actual cause
Bibliography
Includes bibliographical references (pages 359-373) and indexes
