This paper analyzes the optimal monetary policy in a model with a public sector when firms choose prices under incomplete information, and the government can not observe the current state perfectly. We accommodate the notion of Odyssean forward guidance in a framework with a public sector. The...

We study in this paper an online matching problem where a central platform needs to match a number of limited resources to different groups of users that arrive sequentially over time. The reward of each matching option depends both on the type of resource and the time period the user arrives....

We study the canonical quantity-based network revenue management (NRM) problem where the decision-maker must irrevocably accept or reject each arriving customer request with the goal of maximizing the total revenue given limited resources. The exact solution to the problem by dynamic programming...