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Measuring the Stance of Monetary Policy in Conventional and Unconventional Environments

Authors: Leo Krippner;

Measuring the Stance of Monetary Policy in Conventional and Unconventional Environments

Abstract

This article introduces an idea for summarizing of the stance of monetary policy with quantities derived from a class of yield curve models that respect the zero lower bound constraint for interest rates. The "economic stimulus measure" aggregates the current and estimated expected path of interest rates relative to the neutral interest rate from the yield curve model. Unlike shadow short rates, economic stimulus measures are consistent and comparable across conventional and unconventional monetary policy environments, and are less subject to variation with modelling choices, as I demonstrate with two and three factor models estimated with different data sets. Full empirical testing of the inter-relationships between ES measures and macroeconomic data remains a topic for future work.

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Keywords

Unconventional monetary policy; zero lower bound; shadow short rate; term structure model, jel: jel:E43, jel: jel:E52, jel: jel:G12

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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