Looking for an examination copy?
If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact firstname.lastname@example.org providing details of the course you are teaching.
Hunting Causes and Using Them argues that causation is not one thing, as commonly assumed, but many. There is a huge variety of causal relations, each with different characterizing features, different methods for discovery and different uses to which it can be put. In this collection of new and previously published essays, Nancy Cartwright provides a critical survey of philosophical and economic literature on causality, with a special focus on the currently fashionable Bayes-nets and invariance methods - and it exposes a huge gap in that literature. Almost every account treats either exclusively how to hunt causes or how to use them. But where is the bridge between? It's no good knowing how to warrant a causal claim if we don't know what we can do with that claim once we have it. This book will interest philosophers, economists and social scientists.Read more
- Gives realistic examples of abstract philosophical concepts
- Contains review chapters for academic readers who have an interest in how social scientists can learn from causes
- Provides discussion for philosophers, economists and economic methodologists
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Date Published: June 2007
- format: Paperback
- isbn: 9780521677981
- length: 282 pages
- dimensions: 229 x 152 x 16 mm
- weight: 0.42kg
- availability: Available
Table of Contents
Part I. Plurality in Causality:
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:
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:
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.
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email email@example.comRegister Sign in
You are now leaving the Cambridge University Press website, your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×