Search: RMSEs
RBA Glossary definition for RMSEs
RMSEs – Root Mean Squared Errors
Search Results
Inflation Volatility and Forecast Accuracy
30 Oct 2009
RDP
PDF
507KB
For both models,the root mean squared error (RMSE) fell substantially from the first to the second. ... In other words,it always predicts no change in inflation. We also present the RMSEs of a.
https://www.rba.gov.au/publications/rdp/2009/pdf/rdp2009-06.pdf
Appendix C: Imputation of Household Income in HILDA
31 Dec 2003
RDP
2003-08
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
Monetary Policy Goals for Inflation in Australia
30 Nov 2009
RDP
PDF
85KB
0.23 0.29. RMSE 1.27 1.21. # Announced in August of preceding year. ... 7 The weighted average RMSE of the individual OECD forecasts for the G7 countries over theperiod 1974-1992 was 1.5 per cent.
https://www.rba.gov.au/publications/rdp/1995/pdf/rdp9503.pdf
An Empirical BVAR-DSGE Model of the Australian Economy
2 Feb 2015
RDP
PDF
657KB
model (as measured by their root meansquared error (RMSE)). ... the forecasting performance across models primarilyby their RMSE and their bias.
https://www.rba.gov.au/publications/rdp/2013/pdf/rdp2013-07.pdf
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
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
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
Econometric Analysis
31 Dec 2015
RDP
2015-06
The aggregate level of credit losses predicted by Model C fits actual losses quite closely (the RMSE is 0.15), so this model provides a macro-level explanation that, while suffering ... This omission of lending standards is partly responsible for the
https://www.rba.gov.au/publications/rdp/2015/2015-06/eco-analysis.html
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
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