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

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Authors

Liu, Guangling
Schaling, Eric

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University of Pretoria, Department of Economics

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 Bills 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 esti- mation using the Kalman filter algorithm, the out-of-sample forecasts from the NKDSGE model are then compared with the forecasts generated from the Clas- sical and Bayesian variants of the Vector Autoregression (VAR) models for the period 2001:1-2006:4. The results indicate that in terms of out-of-sample fore- casting the NKDSGE model outperforms both the Classical and the Bayesian VARs for inflation, but not for output growth and the nominal short-term inter- est rate. However, the differences in the 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 2008, 'A new-Keynesian DSGE model for forecasting the South African economy', University of Pretoria, Department of Economics, Working paper series, no. 2008-05. [ http://web.up.ac.za/default.asp?ipkCategoryID=736&sub=1&parentid=677&subid=729&ipklookid=3]