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RBA Glossary definition for VAR models

VAR models – Vector Auto Regression models

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Meet MARTIN, the RBA's new macroeconomic model

15 Mar 2018 Bulletin – March 2018
Tom Cusbert and Elizabeth Kendall
suite of vector autoregression (VAR) models described in Gerard and Nimark (2008). ... Likewise, the VAR models are used to produce forecasts each quarter as an input into the forecasting process.
https://www.rba.gov.au/publications/bulletin/2018/mar/meet-martin-the-rbas-new-macroeconomic-model.html

Appendix E: What Does the Empirical VAR Capture?

31 Dec 2013 RDP 2013-10
Patricia Gómez-González and Daniel Rees
To do this, we compare impulse responses from our empirical VAR estimated using simulated data to the impulse responses to exogenous terms of trade volatility shocks generated by our model. ... Despite its linear structure, the VAR comes extremely close
https://www.rba.gov.au/publications/rdp/2013/2013-10/appendix-e.html
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A Small BVAR-DSGE Model for Forecasting the Australian Economy

23 Sep 2008 RDP 2008-04
Andrew Hodge, Tim Robinson and Robyn Stuart
Research Discussion Papers contain the results of economic research within the Reserve Bank
https://www.rba.gov.au/publications/rdp/2008/2008-04.html
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Sign-restricted VAR Results

18 Dec 2008 RDP 2008-08
Philip Liu
13.5. 5.4. 44.6. 2.0. Looking at the variance decomposition of the shocks identified by the sign-restricted VAR model reveals some important differences (Table 4). ... To check the robustness of these results, the sign-restricted VAR model is
https://www.rba.gov.au/publications/rdp/2008/2008-08/sig-res-results.html
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The VAR Methodology

1 Jul 1986 RDP 8608
Robert G. Trevor and Stephen G. Donald
As is the hallmark of VARs, there are no exclusion restrictions within the B. ... 2t. itself. The model presented in equation (1) is difficult to describe in terms of the B.
https://www.rba.gov.au/publications/rdp/1986/8608/var-methodology.html
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Oil Price Shocks, Monetary Policy and Stagflation | Conference – 2009

17 Aug 2009 Conferences
Lutz Kilian
Their model included censored changes in nominal oil prices. Kilian and Vigfusson (2009) show that the impulse response estimates constructed from such censored vector autoregressive (VAR) models are inconsistent because the ... The lack of temporal
https://www.rba.gov.au/publications/confs/2009/kilian.html

Managing Market Risk in Banks

10 Dec 1996 Bulletin – December 1996
Leading international banks have begun to model these liquidity effects in more detail and incorporate them directly into their VaR models, although this work is still at a relatively early stage. ... There is no doubt that this characteristic makes VaR
https://www.rba.gov.au/publications/bulletin/1996/dec/1.html

Estimating the Models

31 Dec 2013 RDP 2013-07
Sean Langcake and Tim Robinson
Consequently, the SOE Minnesota VAR is a natural benchmark for the BVECMX model. ... The main way the SOE Minnesota VAR differs from the BVECMX model is in the parameters of the prior.
https://www.rba.gov.au/publications/rdp/2013/2013-07/estimating-models.html
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VAR Estimation Results

1 Jun 1989 RDP 8903
Glenn Stevens and Susan Thorp
The two sets of results are discussed in turn. Each VAR model includes four lags of each variable. ... M1 leads nominal GDP in the 1978–88 period. Table 2 shows results for three-variable VARs, where the bill rate is included in every model.
https://www.rba.gov.au/publications/rdp/1989/8903/var-estimation-results.html
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DSGE Reno: Adding a Housing Block to a Small Open Economy Model

1 Apr 2018 RDP 2018-04
Christopher G Gibbs, Jonathan Hambur and Gabriela Nodari
Structural VARS:. The code to estimate the structural VAR models and reproduce Figure 12 can be found in the ‘SVAR’ directory. ... Existing results are stored in VAR_model_1, VAR_model_2, VAR_model_3 and VAR_model_4. Bayesian IRFs:.
https://www.rba.gov.au/publications/rdp/2018/2018-04/read-me.html
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