Guangling (Dave) Liu () (Department of Economics, University of Pretoria) Rangan Gupta () (Department of Economics, University of Pretoria) Eric Schaling () (Department of Economics, University of Pretoria)
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This paper develops an estimable hybrid model that combines the theoretical rigor of a micro-founded DSGE model with the flexibility of an atheoretical VAR model. The model is estimated via maximum likelihood technique based on quarterly data on real Gross National Product (GNP), consumption, investment and hours worked, for the South African economy, over the period of 1970:1 to 2000:4. Based on a recursive estimation using the Kalman filter algorithm, the out-of-sample forecasts from the hybrid model are then compared with the forecasts generated from the Classical and Bayesian variants of the VAR for the period 2001:1-2005:4. The results indicate that, in general, the estimated hybrid DSGE model outperforms the Classical VAR, but not the Bayesian VARs in terms of out-of-sample forecasting performances.
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Paper provided by University of Pretoria, Department of Economics in its series Working Papers with number
200724.
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