I remember seeing a paper that ranked causal statistical models, published by some research body, by quality in terms of generalizability or some similar facet(s). This would be a "hierarchy of evidence" type of list. The models included difference in difference (ranked highly), instrumental variables, and other techniques of exploiting natural experiments, pseudo-randomization, etc.
Obviously, depending on context (assumptions, data availability, academic field), different models are applicable in different situations. With that caveat, the models were ranked, and I would like to find it again to review the argumentation used.
Although I am discussing a specific publication, I am interested in any literature related to general comparisons or rankings of causal statistical models.