Introduction; Part I. Plurality in Causality: 1. Preamble; 2. Causation: one word, many things; 3. Causes: warranting them and using them; 4. Where is the theory in our 'theories' of causality?; Part II. Case Studies: Bayes-nets and Invariance Theories: 5. Preamble; 6.

What is wrong with Bayes-nets?; 7. Modularity: it can - and generally does - fail; 8. Against modularity, the causal Markov condition and any link between the two: comments on Hausman and Woodward; 9. From metaphysics to method: comments on manipulability and the causal Markov condition; 10. Two theorems on invariance and causality; Part III. Causal Theories in Economics: 11. Preamble; 12. Probabilities and experiments; 13.

How to get causes from probabilities: Cartwright on Simon on causation; 14. The merger of cause and strategy: Hoover on Simon on causation; 15. The vanity of rigour in economics: theoretical models and Galilean experiments; 16. Counterfactuals in economics: a commentary.