Liquidity trap and optimal monetary policy: Evaluations for U.S. monetary policy from 2020 to 2023

IF 2.3 3区 经济学 Q2 ECONOMICS
Journal of Economic Dynamics & Control Pub Date : 2026-03-01 Epub Date: 2026-01-23 DOI:10.1016/j.jedc.2026.105274
Kohei Hasui , Tomohiro Sugo , Yuki Teranishi
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引用次数: 0

Abstract

This paper shows that the recent Fed’s exit strategy reflects the conduct of optimal monetary policy in a liquidity trap. We use the conventional new Keynesian model for the U.S economy, incorporating recent inflation persistence. As observed in the Fed’s liftoff policy, optimal monetary policy shows inflation overshooting and prolonged zero interest rate policy under high inflation beyond the 2 percent target. With greater persistence of inflation, inflation overshooting becomes larger, yielding better consistency with the data. Our analysis also indicates the presence of a forward guidance puzzle in the Fed’s exit policy. Under optimal monetary policy, the discounted Euler equation successfully dampens forward guidance effects and better describes the output gap.
流动性陷阱与最优货币政策:对2020 - 2023年美国货币政策的评估
本文认为,美联储近期的退出策略反映了流动性陷阱下最优货币政策的行为。我们对美国经济使用传统的新凯恩斯主义模型,并将近期的通货膨胀持续性纳入其中。正如我们在美联储加息政策中观察到的那样,最优货币政策是在通胀超过2%目标的高通胀下,通胀超调和长期零利率政策。通胀持续时间越长,通胀超调越大,与数据的一致性越好。我们的分析还表明,美联储的退出政策存在一个前瞻指引难题。在最优货币政策下,贴现欧拉方程成功地抑制了前瞻指导效应,更好地描述了产出缺口。
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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