The Bank of Canada’s Communications Department has developed a framework to quantify and qualify the Bank’s communications efforts and their results. Using data-based measurement and evaluation, the department can assess the impact of the Bank’s communications activities and gauge the department’s contribution to the Bank’s overall goals.
Standard monetary models adopt an infinite horizon with discounting. Testing these models in the lab requires implementing this horizon within a limited time frame. We compare three approaches to such an implementation and discuss their relative advantages.
We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information.