The paper uses Gibbs sampling technique to estimate a heteroscedastic Bayesian Vector Error Correction Model (BVECM) of the South African economy for the period 1970:1-2000:4, and then forecast GDP, consumption, investment, short and long term interest rates, and the CPI over the period of...

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...

This paper uses a version of Hansen’s (1985) Dynamic Stochastic General Equilibrium (DSGE) model to forecast the South African economy. The calibrated model, based on annual data over the period of 1970-2000, is used to generate one- to eight-quarters-ahead out-of-sample forecast errors for...

This paper investigates the ability of the Dornbusch (1976) sticky- price model for the nominal metical-rand exchange rate, over the period 1994:1-2005:4 in explaining the exchange rate movements of Mozambique. Based on the model, we find that there is a stable relationship between the exchange...

This paper first tests the restrictions implied by Hall’s (1978) version of the permanent income hypothesis (PIH) obtained from a bivariate system of labor income and savings, using quarterly data over the period of 1947:01 to 2008:03 for the US economy, and then uses the model to forecast...

The paper develops a Bayesian Vector Error Correction Model (BVECM) of the South African economy for the period of 1970:1-2000:4 and forecasts GDP, consumption, investment, short-term and long term interest rates, and the CPI. We find that a tight prior produces relatively more accurate...

This paper develops a Bayesian Vector Error Correction Model (BVECM) for forecasting inventory investment in South Africa. The model is estimated using quarterly data on actual sales, production, unfilled orders, price levels and interest rates, for the period of 1978 to 2000. The...

This paper estimates Spatial Bayesian Vector Autoregressive models (SBVAR), based on the First-Order Spatial Contiguity and the Random Walk Averaging priors, for six metropolitan areas of South Africa, using monthly data over the period of 1993:07 to 2005:06. We then forecast one- to...

The paper develops a Bayesian vector autoregressive (BVAR) model of the South African economy for the period of 1970:1-2000:4 and forecasts GDP, consumption, investment, short-term and long term interest rates, and the CPI. We find that a tight prior produces relatively more accurate forecasts...

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,...