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RBA Glossary definition for VAR models

VAR models – Vector Auto Regression models

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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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Deriving Implied Time-variation in DSGE Coefficients from a Kernel-estimated TVP-VAR

13 Dec 2012 Research Workshop PDF 2123KB
Reserve Bank of Australia Workshop 2012
https://www.rba.gov.au/publications/workshops/research/2012/pdf/theodoridis.pdf

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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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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Bulletin June Quarter 2023

29 Sep 2023 Bulletin - June 2023 PDF 7089KB
https://www.rba.gov.au/publications/bulletin/2023/jun/pdf/bulletin-2023-06.pdf

A Small BVAR-DSGE Model for Forecasting the Australian Economy

10 Feb 2009 RDP PDF 599KB
VAR. The forecasting performance of themodel is competitive with benchmark models such as a Minnesota VAR and anindependently estimated DSGE model. ... 2. prior.3 While the Minnesota prior has aided the forecasting ability of VAR models,it is a purely
https://www.rba.gov.au/publications/rdp/2008/pdf/rdp2008-04.pdf

Identification and Inference under Narrative Restrictions

20 Oct 2023 RDP PDF 1128KB
The initial conditions. (y1p,. ,y0) are given. The reduced-form VAR(p) representation is. ... the likelihood of the reduced-form VAR), whichdepends only on ϕϕϕ and the data.
https://www.rba.gov.au/publications/rdp/2023/pdf/rdp2023-07.pdf

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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Can We Use High-frequency Yield Data to Better Understand the Effects of Monetary Policy and Its Communication? Yes and No!

1 Apr 2023 RDP 2023-04
Jonathan Hambur
model the future path of interest rates and premia based on data on yields. ... Our baseline VAR is estimated (using ordinary least squares) at a monthly frequency.
https://www.rba.gov.au/publications/rdp/2023/2023-04/full.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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