Instrument-Based versus Target-Based Rules

Author:

Halac Marina1,Yared Pierre2

Affiliation:

1. Yale University and CEPR

2. Columbia University and NBER

Abstract

Abstract We study rules based on instruments versus targets. Our application is a New Keynesian economy where the central bank has non-contractible information about aggregate demand shocks and cannot commit to policy. Incentives are provided to the central bank via punishment which is socially costly. Instrument-based rules condition incentives on the central bank’s observable choice of policy, whereas target-based rules condition incentives on the outcomes of policy, such as inflation, which depend on both the policy choice and realized shocks. We show that the optimal rule within each class takes a threshold form, imposing the worst punishment upon violation. Target-based rules dominate instrument-based rules if and only if the central bank’s information is sufficiently precise, and they are relatively more attractive the less severe the central bank’s commitment problem. The optimal unconstrained rule relaxes the instrument threshold whenever the target threshold is satisfied.

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics

Reference88 articles.

1. “The Economics of Labor Coercion”;ACEMOGLU;Econometrica,2011

2. “The Optimum Quantity of Debt”;AIYAGARI;Journal of Monetary Economics,1998

3. “Expectation Traps and Monetary Policy”;ALBANESI;Review of Economic Studies,2003

4. “Optimal Delegation”;ALONSO;Review of Economic Studies,2008

5. “The Theory of Delegation with an Application to Tariff Caps”;AMADOR;Econometrica,2013

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3