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RBA Glossary definition for RMSEs

RMSEs – Root Mean Squared Errors

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Forecasting Australian Economic Activity Using Leadership Indicators

1 Dec 2009 RDP PDF 338KB
The RMSE results reported are those from thespecification with the smallest RMSE at the eight-quarter horizon. ... These are roughly the same magnitude as the RMSE statistics themselvesindicating that the forecasts are fairly unreliable.
https://www.rba.gov.au/publications/rdp/2000/pdf/rdp2000-02.pdf

The Real-time Forecasting Performance of Phillips Curves

2 Dec 2009 RDP PDF 127KB
Forecasts for quarterly inflation (one quarter ahead). RMSE 0.31 0.32 0.44 0.33 0.38. ... RMSE of forecasts for quarterly inflation (one quarter ahead). 1976–1980 0.36 0.43 0.53 0.44 0.54.
https://www.rba.gov.au/publications/rdp/2003/pdf/rdp2003-12.pdf

Results

31 Dec 2013 RDP 2013-07
Sean Langcake and Tim Robinson
Table 4: BVECMX and BVARX Forecast Results – RMSE. Series. Including error-correction terms. ... Table 9: RMSE Without the Export Error-correction Term. Ratio to baseline model.
https://www.rba.gov.au/publications/rdp/2013/2013-07/results.html
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Forecasts

11 Sep 2015 RDP 2015-04
Christian Gillitzer
Each number in the table represents the root mean squared error (RMSE) of the forecast relative to the RMSE of an autoregressive forecast; numbers less than unity indicate improved forecast accuracy
https://www.rba.gov.au/publications/rdp/2015/2015-04/forecasts.html

Australian House Prices: A Comparison of Hedonic and Repeat-sales Measures

2 Dec 2009 RDP PDF 176KB
Sydney – constant. Prices growth(a) 7.8 8.1 7.9. RMSE 25.1 25.4 25.7. ... RMSE 25.5 25.7 25.7. SSC 50.7 50.0 49.4. Brisbane – constant.
https://www.rba.gov.au/publications/rdp/2006/pdf/rdp2006-03.pdf

Forthcoming in Economic Record December 1983 ECONOMIC FORECASTS AND ...

23 Feb 2017 RDP PDF 762KB
choose between most of the forecasters. For example,. for GOP, the RMSE of the average of the forecasts was. ... of their RMSE for each variable for each year. Rank. correlation coefficients were then calculated for.
https://www.rba.gov.au/publications/rdp/1983/pdf/rdp8302.pdf

Appendix C: Forecast Performance

1 May 1999 RDP 1999-04
James Engel and Marianne Gizycki
0.049. RMSE. 0.098. 0.094. 0.103. 0.377. 0.108. MAPE. 482.510. 640.474. 431.204. ... 0.048. RMSE. 0.097. 0.094. 0.100. 0.111. 0.094. MAPE. 448.560. 640.634. 584.847.
https://www.rba.gov.au/publications/rdp/1999/1999-04/appendix-c.html
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Appendix A: Predictability of Capital Flows

21 Dec 2009 RDP 2009-09
Chris Becker and Clare Noone
The Root Mean Squared Error (RMSE) serves as a measure of the fit for each model. ... Model. RMSE. i. /RMSE. Naïve. Countries for which p-value indicates significance at 5 per cent level.
https://www.rba.gov.au/publications/rdp/2009/2009-09/appendix-a.html

Appendix D: Estimation Results for Full Set of Explanatory Variables

31 Jan 2023 RDP 2023-01
Tom Cusbert
0.212. 0.227. 0.179. RMSE. 0.30. 0.20. 0.87. 0.68. Note: , and denote statistical significance at the 1, 5 and 10 per cent levels, respectively.
https://www.rba.gov.au/publications/rdp/2023/2023-01/appendix-d.html
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Measuring Core Inflation

1 Sep 1998 RDP 9810
Jonathan Kearns
The RMSE from a five-quarter moving average declines even more sharply than the MAD for very small trims. ... Seasonal adjustment reduced both the size and the asymmetry of the trim that minimised the MAD and RMSE.
https://www.rba.gov.au/publications/rdp/1998/1998-10/measuring-core-inflation.html