The Case for Time in Causal DAGs
Methodology
2026-04-22 v4
Abstract
We make the case for incorporating a notion of time into causal directed acyclic graphs (DAGs). We demonstrate that nontemporal causal DAGs are ambiguous and obstruct justification of the acyclicity assumption. Assuming that causes precede effects, causal relationships are relative to the time order, and causal DAGs require temporal qualification. We propose a formalization via composite causal variables that refer to quantities at one or multiple time points. We emphasize that the acyclicity assumption requires different justifications depending on whether the time order allows cycles. We conclude by discussing implications for the interpretation and applicability of DAGs as causal models.
Keywords
Cite
@article{arxiv.2501.19311,
title = {The Case for Time in Causal DAGs},
author = {Alexander G. Reisach and Alberto Suárez and Sebastian Weichwald and Antoine Chambaz},
journal= {arXiv preprint arXiv:2501.19311},
year = {2026}
}