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
The Performance of Trimmed Mean Measures of Underlying Inflation
12 Dec 2006
RDP
PDF
328KB
In Section 5.3, we calculate the root mean squared error (RMSE) of the candidate measures versus similar measures of trend inflation.
https://www.rba.gov.au/publications/rdp/2006/pdf/rdp2006-10.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
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
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
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
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
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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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