The Amplification of the New Keynesian Models and Robust Optimal Monetary Policy
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Amer inst Mathematical Sciences-aims
Open Access Color
GOLD
Green Open Access
No
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Publicly Funded
No
Abstract
This paper analyzes whether and how model uncertainty affects the amplification mechanism of the New Keynesian models in a simple min-max framework where the central bank plays a zero-sum game versus a hypothetical, evil agent. A first finding on a benchmark model with staggered price setting is that a robust optimal commitment policy necessitates more aggressive policy under a demand shock. Further, bringing additional persistence into the model deteriorates the effectiveness of monetary policy. Hence, allowing for either habit formation or partial indexation of prices to lagged inflation rate requires a stronger response for the policy to a demand shock. Together with the specification doubts, in order to reassure the private sector and signal that it will stabilize the fluctuations in the output gap, the policymaker reacts more aggressively as persistence rises. Although inflation persistence does not change the impact of model uncertainty, habit formation in consumption eliminates even reverses the impact of uncertainty on the policy reaction to a supply shock. In all cases, policymaker attributes less importance to nominal interest rate inertia with concerns about model uncertainty.
Description
Özcan, Gülserim/0000-0002-8207-8930;
ORCID
Keywords
robust control, model uncertainty, New Keynesian model, optimal monetary policy, min-max policies, T57-57.97, Applied mathematics. Quantitative methods, min-max policies, optimal monetary policy, HG1-9999, model uncertainty, robust control, new keynesian model, Finance
Fields of Science
0502 economics and business, 05 social sciences
Citation
WoS Q
Q2
Scopus Q
Q3

OpenCitations Citation Count
1
Source
Quantitative Finance and Economics
Volume
4
Issue
1
Start Page
36
End Page
65
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0.847
Sustainable Development Goals
17
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