Open economy forecasting with a DSGE-VAR: Head to head with the RBNZ published forecasts
We construct a DSGE-VAR model for competing head to head with the long history of published forecasts of the Reserve Bank of New Zealand. We also construct a Bayesian VAR model with a Minnesota prior for forecast comparison. The DSGE-VAR model combines a structural DSGE model with a statistical VAR model based on the in-sample fit over the majority of New Zealand's inflation-targeting period. We evaluate the real-time out-of-sample forecasting performance of the DSGE-VAR model, and show that the forecasts from the DSGE-VAR are competitive with the Reserve Bank of New Zealand's published, judgmentally-adjusted forecasts. The Bayesian VAR model with a Minnesota prior also provides a competitive forecasting performance, and generally, with a few exceptions, out-performs both the DSGE-VAR and the Reserve Bank's own forecasts.
Year of publication: |
2011
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Authors: | Lees, Kirdan ; Matheson, Troy ; Smith, Christie |
Published in: |
International Journal of Forecasting. - Elsevier, ISSN 0169-2070. - Vol. 27.2011, 2, p. 512-528
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Publisher: |
Elsevier |
Keywords: | DSGE Vector autoregression models Macroeconomic forecasting Open economy Bayesian methods |
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