Decision-theoretic foundations for statistical causality: Response to Pearl

Dawid Philip ()
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Dawid Philip: Statistical Laboratory, University of Cambridge, Cambridge, United Kingdom

Journal of Causal Inference, 2022, vol. 10, issue 1, 296-299

Abstract: I thank Judea Pearl for his discussion of my paper and respond to the points he raises. In particular, his attachment to unaugmented directed acyclic graphs has led to a misapprehension of my own proposals. I also discuss the possibilities for developing a non-manipulative understanding of causality.

Keywords: augmented DAG; causal inference; extended conditional independence; Pearlian DAG (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:causin:v:10:y:2022:i:1:p:296-299:n:1

DOI: 10.1515/jci-2022-0056

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