Causal Asymmetries

Cambridge University Press (1998)
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.
Keywords Causation   Science
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Call number BD541.H38 1998
ISBN(s) 0521622891   9780521622899     0521622891 (hardcover)
DOI 10.2307/2653605
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Henry Byerly (1990). Causes and Laws: The Asymmetry Puzzle. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:545 - 555.
DM Hausman & J. Woodward (1999). Independence, Invariance and the Causal Markov Condition. British Journal for the Philosophy of Science 50 (4):521-583.
Huw Price (1992). The Direction of Causation: Ramsey's Ultimate Contingency. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:253 - 267.
David Papineau (1992). Can We Reduce Causal Direction to Probabilities? PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:238-252.
C. Hitchock (2000). Review. Causal Asymmetries. DM Hausman. British Journal for the Philosophy of Science 51 (1):175-179.
Daniel M. Hausman (1982). Causal and Explanatory Asymmetry. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:43 - 54.

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