Cookies?
Library Header Image
LSE Research Online LSE Library Services

Inflation targets and the zero lower bound in a behavioural macroeconomic model

De Grauwe, Paul and Ji, Yuemei (2019) Inflation targets and the zero lower bound in a behavioural macroeconomic model. Economica, 86 (342). pp. 262-299. ISSN 0013-0427

[img]
Preview
PDF - Accepted Version
Download (2MB) | Preview
[img] Text (Inflation targets) - Accepted Version
Download (2MB)

Identification Number: 10.1111/ecca.12261

Abstract

We analyse the relationship between the level of the inflation target and the zero lower bound imposed on the nominal interest rate in the framework of a behavioural New-Keynesian macroeconomic model in which agents, experiencing cognitive limitations, use adaptive learning forecasting rules. The model produces endogenous waves of optimism and pessimism (animal spirits) that lead to non-normal distributions of the output gap. We find that when the inflation target is too close to zero, the economy can get gripped by ‘chronic pessimism’ that leads to a dominance of negative output gaps and recessions, and in turn feeds back on expectations producing long waves of pessimism. Low inflation targets create the risk of persistence of recessions and low growth. In conclusion, our framework suggests that the 2% inflation target, now pursued by many central banks, is too low.

Item Type: Article
Additional Information: © 2017 The London School of Economics and Political Science
Divisions: European Institute
Subjects: H Social Sciences > HB Economic Theory
H Social Sciences > HG Finance
JEL classification: E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level; Inflation; Deflation
E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations; Cycles
Date Deposited: 07 Jun 2017 09:26
Last Modified: 07 Nov 2024 23:39
URI: http://eprints.lse.ac.uk/id/eprint/80271

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics