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RBA Glossary definition for RMSEs

RMSEs – Root Mean Squared Errors

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The Fit of the Model

1 Aug 1984 RDP 8401
J.G. Fahrer, R.W. Rankin and J.C. Taylor
TABLE 1: MEASURES OF FIT, LINEARISED RBA82 MODEL. RMSE. RMSE. 1959(4)–80(4). ... LINEARISED MODELS). RMSE 1963(2) – 1974(4). RBA76. RBA82. log d. 2.62.
https://www.rba.gov.au/publications/rdp/1984/8401/the-fit-of-the-model.html

Assessing the Mix-adjusted Median

31 Dec 2006 RDP 2006-04
Nalini Prasad and Anthony Richards
A RMSE is then calculated between the ‘initial’ and ‘final’ estimate of price growth for each measure. ... 0.93. 0.93. 1.00. Panel B: Deviation from trend (quarterly RMSE). Sydney.
https://www.rba.gov.au/publications/rdp/2006/2006-04/assessing-the-mix-adjusted-median.html

The Information Content of Financial Aggregates in Australia

1 Dec 2009 RDP PDF 278KB
21 The ratios of the root mean squared error (RMSE) is comparable to the Theil-U statistic used. ... in forecast evaluation that compares a forecast RMSE to that of a random walk forecast.
https://www.rba.gov.au/publications/rdp/1996/pdf/rdp9606.pdf

Results

31 Dec 2006 RDP 2006-11
Christian Gillitzer and John Simon
d) Root-mean-squared error (RMSE) of difference in inflation rates from a centred 9-term Henderson trend, in percentage points. ... b) The seasonally adjusted series produced by the BLS. (c) RMSE of difference in inflation rates from a centred 23-term
https://www.rba.gov.au/publications/rdp/2006/2006-11/results.html

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

Appendix C: Imputation of Household Income in HILDA

31 Dec 2003 RDP 2003-08
Gianni La Cava and John Simon
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 21
https://www.rba.gov.au/publications/rdp/2003/2003-08/appendix-c.html

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

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

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