Chapter

Causal Interpretation in Structural Models

James Woodward

in Making Things Happen

Published in print January 2004 | ISBN: 9780195155273
Published online January 2005 | e-ISBN: 9780199835089 | DOI: http://dx.doi.org/10.1093/0195155270.003.0007

Series: Oxford Studies in the Philosophy of Science

 						Causal Interpretation in Structural Models

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This chapter applies the ideas about intervention and invariance developed in previous chapters to so-called causal models of the sort used in the social, behavioral, and biomedical sciences. Both regression models and structural equation models are explored and a modularity condition is defended in connection with the latter. Connections with the Causal Markov condition are also briefly discussed.

Keywords: causal models; regression; structural equations; modularity; Causal Markov condition

Chapter.  18192 words.  Illustrated.

Subjects: Philosophy of Science

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