Hunting Causes and Using Them: Approaches in Philosophy and Economics

Hunting Causes and Using Them: Approaches in Philosophy and Economics

by Nancy Cartwright
     
 

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ISBN-10: 052167798X

ISBN-13: 9780521677981

Pub. Date: 05/31/2007

Publisher: Cambridge University Press

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

Overview

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 exclusively either of how to hunt causes or of 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 is for philosophers, economists and social scientists-or for anyone who wants to understand what causality is and what it is good for.

Product Details

ISBN-13:
9780521677981
Publisher:
Cambridge University Press
Publication date:
05/31/2007
Edition description:
1ST
Pages:
282
Product dimensions:
5.98(w) x 8.98(h) x 0.63(d)

Table of Contents

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.

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