Potential outcome and decision theoretic foundations for statistical causality

Richardson Thomas S. () and Robins James M.
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Richardson Thomas S.: Department of Statistics, University of Washington, Seattle, Washington, United States
Robins James M.: Department of Epidemiology, Harvard School of Public Health, Boston, United States

Journal of Causal Inference, 2023, vol. 11, issue 1, 30

Abstract: In a recent work published in this journal, Philip Dawid has described a graphical causal model based on decision diagrams. This article describes how single-world intervention graphs (SWIGs) relate to these diagrams. In this way, a correspondence is established between Dawid's approach and those based on potential outcomes such as Robins’ finest fully randomized causally interpreted structured tree graphs. In more detail, a reformulation of Dawid s theory is given that is essentially equivalent to his proposal and isomorphic to SWIGs.

Keywords: directed acyclic graph; decision theory; finest fully randomized causally interpreted structured tree graph; potential outcome; single-world intervention graph (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:causin:v:11:y:2023:i:1:p:30:n:1

DOI: 10.1515/jci-2022-0012

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