Search: RMSEs
RBA Glossary definition for RMSEs
RMSEs – Root Mean Squared Errors
Search Results
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
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
Results
31 Dec 2013
RDP
2013-07
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
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
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
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
See 1 more results from "RDP 1999-04"
Measuring Housing Price Growth – Using Stratification to Improve Median-based Measures
2 Dec 2009
RDP
PDF
232KB
For each price measure we then calculate a root mean squared error (RMSE) between quarterly. ... 4, changes in the median and seasonally adjusted median are volatile with relatively high RMSEs.
https://www.rba.gov.au/publications/rdp/2006/pdf/rdp2006-04.pdf
A Small BVAR-DSGE Model for Forecasting the Australian Economy
10 Feb 2009
RDP
PDF
599KB
14. Table 3: RMSE of BVAR-DSGE over Different Values of λ2002:Q1–2007:Q4, VAR(3), percentage points. ... Table E1: RMSE of BVAR-DSGE over Different Lags and Values of λ2002:Q1–2007:Q4, percentage points.
https://www.rba.gov.au/publications/rdp/2008/pdf/rdp2008-04.pdf
Appendix D: Estimation Results for Full Set of Explanatory Variables
31 Jan 2023
RDP
2023-01
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
See 2 more results from "RDP 2023-01"