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Measuring Causal Invariance Formally
Authors:Pierrick Bourrat
Institution:1.Department of Philosophy, Macquarie University, Balaclava Road, North Ryde, NSW 2109, Australia;2.Department of Philosophy & Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia
Abstract:Invariance is one of several dimensions of causal relationships within the interventionist account. The more invariant a relationship between two variables, the more the relationship should be considered paradigmatically causal. In this paper, I propose two formal measures to estimate invariance, illustrated by a simple example. I then discuss the notion of invariance for causal relationships between non-nominal (i.e., ordinal and quantitative) variables, for which Information theory, and hence the formalism proposed here, is not well suited. Finally, I propose how invariance could be qualified for such variables.
Keywords:causation  invariance  causal specificity  information theory
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