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Risk Management for Monetary Policy Near the Zero Lower Bound

机译:零下限附近的货币政策风险管理

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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.
机译:随着预测显示通货膨胀率回升至目标水平和劳动力市场持续改善,美联储已开始考虑提高联邦基金利率。但是,这些预测存在很大的不确定性。这种不确定性将如何影响货币政策?在许多标准模型中,不确定性没有影响。在本文中,我们证明了名义利率为零的下限(ZLB)意味着在存在不确定性的情况下,央行应采取更宽松的政策。在当前情况下,该结果意味着延迟的升空是最佳的。我们通过两个规范的宏观经济模型从理论上证明了这一结果。使用针对当前环境校准的模型的数值模拟,我们发现相对于未考虑到ZLB约束政策的不确定性的政策,最优政策要求将提款延迟两到四分之三。然后,我们使用对美联储通讯和估计的政策反应功能的叙述性研究来表明,风险管理是实施货币政策的长期实践。

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