Risk Management for Monetary Policy Near the Zero Lower Bound
研究了在零利率下限约束下，不确定性如何影响货币政策，发现央行应采取更宽松的政策，并建议推迟加息两到三个季度。
With projections showing inflation heading back toward target and the labor market continuing to improve, the Federal Reserve has begun to contemplate an increase in the federal funds rate. There is, however, substantial uncertainty around these projections. How should this uncertainty affect monetary policy? In many standard models uncertainty has no effect. In this paper, we demonstrate that the zero lower bound (ZLB) on nominal interest rates implies that the central bank should adopt a looser policy when there is uncertainty. In the current context this result implies that a delayed liftoff is optimal. We demonstrate this result theoretically through two canonical macroeconomic models. Using numerical simulations of our models calibrated to the current environment, we find that optimal policy calls for a delay in liftoff of two to three quarters relative to a policy that does not take into account uncertainty about policy being constrained by the ZLB. We then use a narrative study of Federal Reserve communications and estimated policy reaction functions to show that risk management is a long-standing practice in the conduct of monetary policy.