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Causal Asymmetries

Hausman, Daniel M.·1998·Cambridge University Press eBooks

Abstract

This book, by one of the pre-eminent philosophers of science writing today, offers the most comprehensive account available of causal asymmetries. Causation is asymmetrical in many different ways. Causes precede effects; explanations cite causes not effects. Agents use causes to manipulate their effects; they don't use effects to manipulate their causes. Effects of a common cause are correlated; causes of a common effect are not. This book explains why a relationship that is asymmetrical in one of these regards is asymmetrical in the others. Hausman discovers surprising hidden connections between theories of causation and traces them all to an asymmetry of independence. This is a major book for philosophers of science that will also prove insightful to economists and statisticians.

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Metadata

Authors
Hausman, D. M.
Venue
Cambridge University Press eBooks
Published
1998-07-28
OpenAlex
W996467878
Cited by
306
References
0
FWCI
9.51
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Causal Asymmetries. https://app.cochat.ai/papers/10.1017/cbo9780511663710
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Hausman, D. M. (1998). Causal Asymmetries. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511663710

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.