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RBA Glossary definition for RMSEs

RMSEs – Root Mean Squared Errors

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Estimating Output Gaps

1 Dec 2009 RDP PDF 386KB
Unobservedcomponents. gap. Productionfunction. gap. RMSE 0.0030 0.0022 0.0021 0.0026 0.0015 0.0021 0.0016Meanabsoluteerror. ... 0.0028 0.0020 0.0019 0.0023 0.0014 0.0019 0.0015. Note: RMSE is the root mean square error.
https://www.rba.gov.au/publications/rdp/1998/pdf/rdp9809.pdf

Housing Leverage in Australia

2 Dec 2009 RDP PDF 604KB
The root mean square error (RMSE) is about $26 000. In the regression model for Type II households our model explains about 46 per cent of the variation in individuals’ wage ... In the regression model for Type III households our model explains nearly
https://www.rba.gov.au/publications/rdp/2003/pdf/rdp2003-09.pdf

Forecasting Performance Comparison

23 Sep 2008 RDP 2008-04
Andrew Hodge, Tim Robinson and Robyn Stuart
To evaluate the forecasting performance of the models we construct out-of-sample forecasts and compute their RMSE. ... Table 4: RMSE of BVAR-DSGE 2002:Q1–2007:Q4, VAR(3). Variable. One quarter ahead.
https://www.rba.gov.au/publications/rdp/2008/2008-04/for-per-comparisons.html
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Volatility in International Capital Movements

15 Dec 2009 RDP PDF 240KB
The Root Mean Squared Error (RMSE) serves as a measure of the fit for each model. ... However, for emerging economies the average RMSE for the naïve model is more than twice as large as that for industrialised countries (not shown).
https://www.rba.gov.au/publications/rdp/2009/pdf/rdp2009-09.pdf

Inflation in Australia: Measurement and Modelling

27 Nov 2006 Conferences PDF 338KB
RBA Conference Volume 2004
https://www.rba.gov.au/publications/confs/2004/pdf/heath-roberts-bulman.pdf

The Sticky Information Phillips Curve: Evidence for Australia

15 Apr 2015 RDP PDF 737KB
Each number in the table represents the root meansquared error (RMSE) of the forecast relative to the RMSE of an autoregressiveforecast; numbers less than unity indicate improved forecast accuracy relative toan
https://www.rba.gov.au/publications/rdp/2015/pdf/rdp2015-04.pdf

Inflation in Australia: Measurement and Modelling | Conference – 2004

9 Aug 2004 Conferences
Alexandra Heath, Ivan Roberts and Tim Bulman
a ‘reference’ measure of core inflation (such as a 36-month-centred moving average), as indicated by root mean squared error (RMSE) or mean absolute deviation (MAD) statistics. ... Bryan and Cecchetti (1994) propose that the optimal trim can be found
https://www.rba.gov.au/publications/confs/2004/heath-roberts-bulman.html

Inflation, Indicators and Monetary Policy | Conference – 1992

10 Jul 1992 Conferences
Adrian Blundell-Wignall, Philip Lowe and Alison Tarditi
90Q3. 90Q4. 91Q1. 91Q2. 91Q3. 91Q4. RMSE. Actual Outcome. 6.4. 6.8. ... The RMSEs for these dynamic forecasts are well below that for the naive autoregressive model.
https://www.rba.gov.au/publications/confs/1992/blundell-wignall-lowe-tarditi.html

A Weekly Model of the Floating Australian Dollar

19 Nov 2012 RDP PDF 1139KB
By comparing the root mean square. error (RMSE) of to F, one can deduce the benefit from using the Muth. ... expectations used. In section 2.3, more complex models are introduced. RMSE.
https://www.rba.gov.au/publications/rdp/1986/pdf/rdp8612.pdf

Introduction

16 May 2008 RDP 2008-02
Hugo Gerard and Kristoffer Nimark
2007). While point forecast combinations are usually evaluated according to root mean squared errors (RMSE), the criteria for evaluating density forecasts are less clear cut.
https://www.rba.gov.au/publications/rdp/2008/2008-02/introduction.html
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