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Path-specific Effects Based on Information Accounts of Causality

arXiv 2106.03178 ↗First posted 6 Jun 2021cs.AI stat.OTcited by 0

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Abstract (arXiv)

Path-specific effects in mediation analysis provide a useful tool for fairness analysis, which is mostly based on nested counterfactuals. However, the dictum ``no causation without manipulation'' implies that path-specific effects might be induced by certain interventions. This paper proposes a new path intervention inspired by information accounts of causality, and develops the corresponding intervention diagrams and π-formula. Compared with the interventionist approach of Robins et al.(2020) based on nested counterfactuals, our proposed path intervention method explicitly describes the manipulation in structural causal model with a simple information transferring interpretation, and does not require the non-existence of recanting witness to identify path-specific effects. Hence, it could serve useful communications and theoretical focus for mediation analysis.

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References · 6

  1. 2013Direct and Indirect Effectscited by 276
  2. 2019Causality for Machine Learningcited by 242
  3. 2019A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effectscited by 19
  4. 2014Causal Inference with a Graphical Hierarchy of Interventionscited by 11
  5. 2020An Interventionist Approach to Mediation Analysiscited by 10
  6. 2020Multivariate Counterfactual Systems And Causal Graphical Modelscited by 9

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