A New-Keynesian DSGE model for forecasting the South African economy

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Authors

Liu, Guangling
Gupta, Rangan
Schaling, Eric

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Publisher

Wiley-Blackwell

Abstract

This paper develops a New-Keynesian Dynamic Stochastic General Equilibrium (NKDSGE) model for forecasting the growth rate of output, inflation, and the nominal short-term interest rate (91 days Treasury Bill rate) for the South African economy. The model is estimated via maximum likelihood technique for quarterly data over the period of 1970:1-2000:4. Based on a recursive estimation using the Kalman filter algorithm, out-of-sample forecasts from the NKDSGE model are compared with forecasts generated from the classical and Bayesian variants of vector autoregression (VAR) models for the period 2001:1-2006:4. The results indicate that in terms of out-of-sample forecasting, the NKDSGE model outperforms both the classical and Bayesian VARs for inflation, but not for output growth and nominal short-term interest rate. However, differences in RMSEs are not significant across the models.

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Keywords

New-Keynesian DSGE model, Dynamic Stochastic General Equilibrium (DSGE) model, Vector autoregressive (VAR) model, Bayesian vector autoregressive (BVAR) model, Forecast accuracy

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Citation

Liu, G, Gupta, R & Schaling, E 2009, 'A New-Keynesian DSGE model for forecasting the South African economy', Journal of Forecasting, vol. 28, no. 5, pp. 387-404. [http://www3.interscience.wiley.com/journal/2966/home]