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21–30 of 43 search results for RMSEs

RBA Glossary definition for RMSEs

RMSEs – Root Mean Squared Errors

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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

Measuring Underlying Inflation

28 Nov 2006 Speech
Anthony Richards
Speech by Anthony Richards to the Australian Business Economists, Sydney
https://www.rba.gov.au/speeches/2006/sp-so-281106.html

Twenty-five Years of Inflation Targeting in Australia: Are There Better Alternatives for the Next Twenty-five Years? | Conference – 2018

12 Apr 2018 Conferences
Warwick J McKibbin and Augustus J Panton
For the succeeding period (2012/13–2016/17), the RMSE for the May one-year-ahead nominal GDP forecast is almost twice that of inflation for the same period, although the ... 0.87. 0.70. 2007/08–2016/17. 1.45. 0.82. 1.04. 0.92. Notes: The RMSE is
https://www.rba.gov.au/publications/confs/2018/mckibbin-panton.html

Forecasting Performance Comparison

23 Sep 2008 RDP 2008-04
Andrew Hodge, Tim Robinson and Robyn Stuart
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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A Perspective | Conference – 1993

12 Jul 1993 Conferences
Adrian Pagan
Applying a similar test to BWFH over the forecast period of 1990/91 to 1992/93 gives the result that the root-mean-squared error (RMSE) of prediction for the real
https://www.rba.gov.au/publications/confs/1993/pagan.html

Indicators of Labour Demand

19 Sep 2013 Bulletin – September 2013
Kim Edwards and Linus Gustafsson
There are several indicators of labour demand that can be used to assess labour market conditions and as inputs into forecasts of employment growth. These include measures of job vacancies, job advertisements and business surveys of employment
https://www.rba.gov.au/publications/bulletin/2013/sep/1.html

Introduction

16 May 2008 RDP 2008-02
Hugo Gerard and Kristoffer Nimark
2007). While point forecast combinations are usually evaluated according to root mean squared errors (RMSE), the criteria for evaluating density forecasts are less clear cut.
https://www.rba.gov.au/publications/rdp/2008/2008-02/introduction.html
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Econometric Analysis

31 Dec 2015 RDP 2015-06
David Rodgers
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

What Caused the Decline in US Business Cycle Volatility? | Conference – 2005

11 Jul 2005 Conferences
Robert J Gordon
Two statistics on simulation errors are provided, the mean error (ME) and the root mean-squared error (RMSE). ... For both equations, the RMSE of the simulations is substantially lower than the standard error of the estimate for the 1962–94 sample
https://www.rba.gov.au/publications/confs/2005/gordon.html

Out-Of-Sample Forecasting

1 Nov 1996 RDP 9606
Ellis W. Tallman and Naveen Chandra
For each forecast horizon from 1 to 8 periods into the future, the root mean squared error (RMSE) is generated for each model. ... forecast. In our case, if the financial aggregates add no value to the forecast, the two VAR model alternatives should have
https://www.rba.gov.au/publications/rdp/1996/9606/out-of-sample-forecasting.html
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