Causal Asymmetries

Daniel M. Hausman

doi:10.1017/CBO9780511663710

Causal Asymmetries

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Cited by 169
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This Book has been cited by the following publications. This list is generated based on data provided by Crossref.

Hausman, Daniel M. 1997. Causation, Agency, and Independence. Philosophy of Science, Vol. 64, Issue. S4, p. S15.

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Hausman, D. M. 1999. The Mathematical Theory of Causation. The British Journal for the Philosophy of Science, Vol. 50, Issue. 1, p. 151.

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Hausman, Daniel M. and Woodward, James 1999. Independence, Invariance and the Causal Markov Condition. The British Journal for the Philosophy of Science, Vol. 50, Issue. 4, p. 521.

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Dorato, Mauro 2000. Becoming and the Arrow of Causation. Philosophy of Science, Vol. 67, Issue. S3, p. S523.

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Dowe, Phil 2001. Causal Loops and the Independence of Causal Facts. Philosophy of Science, Vol. 68, Issue. S3, p. S89.

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Mongin, Philippe 2002. La Conception Déductive de L'explication Scientifique et L'économie. Social Science Information, Vol. 41, Issue. 2, p. 139.

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Cartwright, Nancy 2002. Against Modularity, the Causal Markov Condition, and Any Link Between the Two: Comments on Hausman and Woodward. The British Journal for the Philosophy of Science, Vol. 53, Issue. 3, p. 411.

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Cartwright, Nancy 2003. Two Theorems on Invariance and Causality. Philosophy of Science, Vol. 70, Issue. 1, p. 203.

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Glymour, Bruce 2003. On the Metaphysics of Probabilistic Causation: Lessons from Social Epidemiology. Philosophy of Science, Vol. 70, Issue. 5, p. 1413.

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Bessler, David A Yang, Jian and Wongcharupan, Metha 2003. Price Dynamics in the International Wheat Market: Modeling with Error Correction and Directed Acyclic Graphs. Journal of Regional Science, Vol. 43, Issue. 1, p. 1.

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Daniel M. Hausman, University of Wisconsin, Madison

Publisher:: Cambridge University Press
Online publication date:: April 2010
Print publication year:: 1998
Online ISBN:: 9780511663710
DOI:: https://doi.org/10.1017/CBO9780511663710

Subjects:: Physics and Astronomy, Philosophy of Science, History, Philosophy and Foundations of Physics, Philosophy
Series:: Cambridge Studies in Probability, Induction and Decision Theory

26.99 (GBP)

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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.

‘Any serious student of causality - economist or philosopher - will find careful study of Hausman’s a valuable tool for clarifying his or her own thinking about causality.’

Source: Journal of Economic Methodology

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Causal Asymmetries

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