Contents:
1. Introduction to Probabilities, Graphs, and Causal Models
2. A Theory of Inferred Causation
3. Causal Diagrams and the Identification of Causal Effects
4. Actions, Plans, and Direct Effects
5. Causality and Structural Models in Social Science and Economics
6. Simpson's Paradox, Confounding, and Collapsibility
7. The Logic of Structure-Based Counterfactuals
8. Imperfect Experiments: Bounding Effects and Counterfactuals
9. Probability of Causation: Interpretation and Identification
10. The Actual Cause
Epilogue: The Art of Science of Cause and Effect
Bibliography
Name Index
Subject Index

 

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