Before revision:  The identified set of the optimal regime is then characterized as the set of maximal elements of the partial order. We also propose topological sorts of the partial order as a policy menu. We show how policymaking can be further guided by imposing assumptions such as monotonicity/uniformity of different stringency, agent's learning, Markovian structure, and stationarity .
After revision:  The identified set of the optimal regime is then characterized as the set of maximal elements associated with the partial ordering. One main contribution of this paper is that we develop simple analytical conditions to establish the ordering, which bypass solving a large number of large-scale linear programs, and thus facilitate estimation and inference. This paper's analytical framework has broader applicability beyond the current context, e.g., in establishing signs of various treatment effects and rankings of policies across different counterfactual scenarios .