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1
A Bayesian vector autoregressive model with informative steady-state priors for the Australian economy
Beechey, Meredith Jane
;
Österholm, Pär
- In:
The economic record : er
84
(
2008
),
pp. 449-465
Persistent link: https://www.econbiz.de/10003785214
Saved in:
2
Forecasting performance of the small-scale hybrid New Keynesian model
Antipin, Jan-Erik
(
contributor
);
Luoto, Jani
(
contributor
)
-
2008
Persistent link: https://www.econbiz.de/10003769068
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3
A structural VAR model of the Australian economy
Dungey, Mardi H.
;
Pagan, Adrian R.
- In:
The economic record : er
76
(
2000
),
pp. 321-342
Persistent link: https://www.econbiz.de/10001546910
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4
Macroeconomic forecasting for
Australia
using a large number of predictors
Jiang, Bin
;
Athanasopoulos, George
;
Hyndman, Rob J.
; …
-
2016
Persistent link: https://www.econbiz.de/10011781960
Saved in:
5
Forecasting the Australian economy with DSGE and BVAR models
Langcake, Sean
;
Robinson, Tim
- In:
Applied economics
50
(
2018
)
3
,
pp. 251-267
Persistent link: https://www.econbiz.de/10011846812
Saved in:
6
Bayesian inference for a periodic stochastic volatility model of intraday electricity prices
Smith, Michael Stanley
- In:
Statistical modelling and regression structures : …
,
(pp. 353-376)
.
2010
Persistent link: https://www.econbiz.de/10003964500
Saved in:
7
Alternative BVAR models for forecasting inflation
Heidari, Hassan
- In:
Acta oeconomica : periodical of the Hungarian Academy …
61
(
2011
)
1
,
pp. 61-75
Persistent link: https://www.econbiz.de/10009303848
Saved in:
8
Real-time forecasting of the Australian macroeconomy using flexible bayesian VARs
Zhang, Bo
;
Bao Hoang Nguyen
-
2020
Persistent link: https://www.econbiz.de/10012317113
Saved in:
9
Real-time forecasting of the Australian macroeconomy using flexible Bayesian VARs
Zhang, Bo
;
Bao Hoang Nguyen
-
2020
Persistent link: https://www.econbiz.de/10012533936
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10
Macroeconomic forecasting for
Australia
using a large number of predictors
Panagiotelis, Anastasios
;
Athanasopoulos, George
; …
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 616-633
Persistent link: https://www.econbiz.de/10012300705
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