Potential Outcomes and Decision Theoretic Foundations for Statistical Causality: Response to Richardson and Robins

TL;DR

This paper discusses the differences and similarities between two approaches to causal modeling: the decision-theoretic approach and the single world intervention graphs, clarifying their foundational aspects.

Contribution

It provides a comparative analysis of the decision-theoretic and single world intervention graph approaches to causal modeling.

Findings

Highlights the conceptual differences between the two frameworks.

Clarifies the foundational assumptions underlying each approach.

Bridges the understanding between decision theory and causal graphs.

Abstract

I thank Thomas Richardson and James Robins for their discussion of my paper, and discuss the similarities and differences between their approach to causal modelling, based on single world intervention graphs, and my own decision-theoretic approach.