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Shadow rates as a measure of the monetary policy stance: Some international evidence
Scottish Journal of Political Economy ; 2022.
Article in English | Scopus | ID: covidwho-2213826
ABSTRACT
This paper examines the usefulness of shadow rates to measure the monetary policy stance by comparing them to the official policy rates and those implied by three types of Taylor rules in both inflation-targeting countries (the UK, Canada, Australia and New Zealand) and others that have only targeted inflation at times (the United States, Japan, the Euro Area and Switzerland) over the period from the early 1990s to December 2021. Shadow rates estimated from a dynamic factor model are shown to suggest a much looser policy stance than either the official policy rates or those implied by the Taylor rules, and generally to provide a more accurate picture of the monetary policy stance during both ZLB and non-ZLB periods, since they reflect the full range of unconventional policy measures used by central banks. Furthermore, generalised impulse response analysis based on three alternative vector autoregression (VAR) models indicates that monetary shocks based on the shadow rates are more informative than those related to the official policy rates or to two- and three-factor shadow rates, especially during the Global Financial Crisis and the recent COVID-19 pandemic, when unconventional measures have been adopted. Finally, unconventional policy shocks seem to have less persistent effects on the economy in countries, which have adopted an inflation-targeting regime. © 2022 The Authors. Scottish Journal of Political Economy published by John Wiley & Sons Ltd on behalf of Scottish Economic Society.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Scottish Journal of Political Economy Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Scottish Journal of Political Economy Year: 2022 Document Type: Article