Uncertainty about the choice of identifying assumptions is common in causal studies, but often ignored empirical practice. This paper considers uncertainty over models that impose different assumptions, which can lead to a mix point‐ and set‐identified models. We propose performing inference presence such by generalizing Bayesian model averaging. The method multiple posteriors for combines them...