Hunting Causes and Using Them

	Acknowledgements	page ix

	Introduction	1

Part I	Plurality in causality
1	Preamble	9
2	Causation: one word, many things	11
3	Causal claims: warranting them and using them	24
4	Where is the theory in our ‘theories’ of causality?	43

Part II	Case studies: Bayes nets and invariance theories
5	Preamble	57
6	What is wrong with Bayes nets?	61
7	Modularity: it can – and generally does – fail	80
8	Against modularity, the causal Markov condition and any link between the two: comments on Hausman and Woodward	97
9	From metaphysics to method: comments on manipulability and the causal Markov condition	132
10	Two theorems on invariance and causality	152

Part III	Causal theories in economics
11	Preamble	175
12	Probabilities and experiments	178
13	How to get causes from probabilities: Cartwright on Simon on causation	190
14	The merger of cause and strategy: Hoover on Simon on causation	203
15	The vanity of rigour in economics: theoretical models and Galilean experiments	217
16	Counterfactuals in economics: a commentary	236

	Bibliography	262
	Index	268

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