Derives general bounds on probability of causation (PC) with sequences of complete mediators, proving that extremal bounds are achieved with at most two steps and that PC can be identified as 0 but never as 1.
Theory-Based Impact Evaluation: Principles and Practice
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Bounding Causes of Effects with Mediators
Derives general bounds on probability of causation (PC) with sequences of complete mediators, proving that extremal bounds are achieved with at most two steps and that PC can be identified as 0 but never as 1.