Does Monetary Policy Respond to Uncertainty? Evidence from Australia
| Author | Jeffrey Sheen,Natalia Ponomareva,Ben Zhe Wang |
| DOI | http://doi.org/10.1111/1467-8462.12338 |
| Published date | 01 September 2019 |
| Date | 01 September 2019 |
The Australian Economic Review, vol. 52, no. 3, pp. 336–343 DOI: 10.1111/1467-8462.12338
Does Monetary Policy Respond to Uncertainty? Evidence from
Australia
1
Natalia Ponomareva, Jeffrey Sheen and Ben Zhe Wang*
Abstract
We construct a novel measure of uncertainty
using expert monetary policy recommendation
data for Australia. Our results suggest that
the Reserve Bank of Australia (RBA) tends to
lower the cash rate when expert uncertainty is
high. This result is robust to using other
uncertainty measures.
1. Introduction
When considering a monetary policy change,
decision makers at the Reserve Bank of
Australia (RBA) undoubtedly take into account
a significant amount of information about the
economy. Reported data and macroeconomic
models, along with the RBA Board’s prefer-
ences, are vital elements in deciding whether a
policy change is required. However, policy
decision makers surely have some reservations
about the quality of data they use, the relevance
of the competing models that they may consider
and even their own preferences when arriving at
these decisions.
1
These reservations reflect their
perceived uncertainty, which must moderate the
confidence held about any monetary policy
decision. For instance, the Minutes of the
Monetary Policy Meeting of the Reserve Bank
Board from 5 March 2019 states:
Taking account of the available information on current
economic and financial conditions and how they were
expected to evolve, members assessed that the current
stance of monetary policy was supporting jobs growth
and a gradual lift in inflation. However, members
noted that significant uncertainties around the fore-
casts remained, with scenarios where an increase in
the cash rate would be appropriate at some point and
other scenarios where a decrease in the cash rate
would be appropriate. The probabilities around these
scenarios were more evenly balanced than they had
been over the preceding year.
This brings up a question: How exactly
does uncertainty affect monetary policy
decisions?
How central banks should best conduct
monetary policy in the light of uncertainty has
* Ponomareva, Sheen and Wang: Macquarie University,
Sydney 2109 Australia. Corresponding author: Wang,
email <ben.wang@mq.edu.au>.
We thank the special issue editor, Efrem Castelnuovo for
helpful comments. This research is supported by the
German Academic Exchange Service DAAD (under the
Australia–Germany Joint Research Cooperation Scheme)
and Macquarie University (Macquarie University
Research Seeding Grant).
© 2019 The University of Melbourne, Melbourne Institute: Applied Economic & Social Research,
Faculty of Business and Economics
Published by John Wiley & Sons Australia, Ltd
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