A New Approach to Estimating the Natural Rate of Interest

Author:

BENATI LUCA

Abstract

AbstractBuilding upon the insight that M1 velocity is the permanent component of nominal interest rates—see Benati (2020)—I propose a novel, and straightforward approach to estimating the natural rate of interest, which is conceptually related to Cochrane's (1994a) proposal to estimate the permanent component of Gross National Product (GNP) by exploiting the informational content of consumption. Under monetary regimes (such as inflation‐targeting) making inflation I(0), the easiest way to implement the proposed approach is to (i ) project the monetary policy rate onto M1 velocity—thus obtaining an estimate of the nominal natural rate—and then () subtract from this inflation's sample average (or target), thus obtaining the real natural rate. More complex implementations based on structural vector autoregressions (VARs) produce very similar estimates. Compared to existing approaches, the one proposed herein presents two key advantages: (i) under regimes making inflation I(0), M1 velocity is equal, up to a linear transformation, to the real natural rate, so that the natural rate is, in fact, observed; and (ii) based on a high‐frequency estimate of nominal GDP, the natural rate can be computed at the monthly or even weekly frequency. In the U.S., Euro area, and Canada, the natural rate dropped sharply in the months following the collapse of Lehman Brothers. Likewise, the 1929 stock market crash was followed in the U.S. by a dramatic decrease in the natural rate.

Publisher

Wiley

Subject

Economics and Econometrics,Finance,Accounting

Cited by 2 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