Measuring causal invariance formally

Pierrick Bourrat

doi:10.3390/e23060690

Measuring causal invariance formally

Pierrick Bourrat^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

90 Downloads (Pure)

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.

Original language	English
Article number	690
Pages (from-to)	1-15
Number of pages	15
Journal	Entropy
Volume	23
Issue number	6
DOIs	https://doi.org/10.3390/e23060690
Publication status	Published - Jun 2021

Bibliographical note

Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

causal specificity
causation
information theory
invariance

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10.3390/e23060690

Publisher version (open access)Final published version, 727 KBLicence: CC BY

Cite this

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KW - causation

KW - information theory

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Measuring causal invariance formally

Abstract

Bibliographical note

Keywords

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