Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical … practice. This paper considers uncertainty over models that impose different identifying assumptions, which, in general, leads … to a mix of point- and set-identified models. We propose performing inference in the presence of such uncertainty by …

\ models the rankings for which the decision maker is sure. The second binary relation is an uncertainty averse preference, as … representing $\succsim^{{\small \wedge}}$. In this way, we show that Bewley preferences and uncertainty averse preferences, two … different approaches in modelling decision making under Knightian uncertainty, are complementary. As a by-product, we extend the …

's (1921) distinction between uncertainty and risk. Along with the risky profit-maximizing scenario, identifying a second, off …