This paper uses the Dynamic Factor Model (DFM) framework, which accommodates a large cross-section
of macroeconomic time series for forecasting the per capita growth rate, inflation, and the nominal shortterm
interest rate for the South African economy. The DFM used in this study contains 267 quarterly series
observed over the period 1980Q1-2006Q4. The results, based on the RMSEs of one- to four-quarters-ahead
out of sample forecasts over 2001Q1 to 2006Q4, indicate the DFM outperforms the NKDSGE in
forecasting per capita growth, inflation and the nominal short-term interest rate. Moreover, the DFM
performs no worse compared to the VARs, both classical and Bayesian, indicating the blessing of dimensionality.
Since the emergence of systematic science it has been recognized that a natural phenomenon can be described
by different models that vary in their complexity and their ability to capture the details of the features
Sekgota, Mpolaeng Gilbert(University of Pretoria, 2013-05-27)
The Sustainable Restitution Support – South Africa (SRS-SA) program aimed at the development of a post-settlement support model that could be used to support beneficiaries of land reform in South Africa, especially those ...
Olivier, Laurentz Eugene; Craig, Ian K.(Elsevier, 2013-02)
The performance of a model predictive controller depends on the quality of
the plant model that is available. Often parameters in a run-of-mine (ROM)
ore milling circuit are uncertain and inaccurate parameter estimation ...