Using a simple linear regression model for estimation could give misleading results about the relationship between Yt, and Xt, . Possible problems involve (1) feedback from the output series to the inputs, (2) omitted time-lagged input terms, (3) an auto correlated disturbance series and, (4) common autocorrelation patterns shared by Y and X that can produce spurious correlations. The primary aim of this study was therefore to use the Box-Jenkins Transfer Function analysis to fit a model that related petroleum consumption to disposable income> The final Transfer Function Model z1t=)C(1-w1 B)/((1-δ1 B) B^5 Z(t^((x) +(1-θ1 B)at significantly described the data. Forecasts generated from this model show that petroleum consumption will hit a record of up to 4.8636 in 2014 if disposable income is augmented. There is 95% confidence that the forecasted value of petroleum consumption will lie between 4.5276 and 5.1997 in 2014. / Thesis (M. Com. (Statistics) North-West University, Mafikeng Campus, 2005

M.Comm. / The objectives of this research can be summarised as follows: To integrate the customer research technique of attribute analysis with the volume planning process. To determine whether attribute analysis, is a useful and reliable tool for determining purchase behavior in the small sedan segment of the motor industry. To determine a customers perception of total product value through attribute analysis. To analyse the influence of price in the purchase decision. To determine whether a market share theorem that weights the perceived value of a vehicle, relative to its competitors perceived value is a reliable predictor of market penetration. To identify the determinant attributes in the decision making process of purchasing a small sedan vehicle. The research component of this dissertation is limited to the small sedan passenger segment of South African car market. While it is recognised that the small sedan segment is only one sub-sector of the vehicle market, it is felt that the study will provide a fair reflection of how the approach could be utilised in other sectors.

This paper examines the impact of the recent global financial crisis on economic growth in developing economies and South Africa in particular. It explores whether the events experienced by developing countries conform to what would be anticipated from economic theory. This is done by firstly comparing country growth forecasts for 2012 captured in 2008 at the beginning of the crisis to actual 2012 GDP growth data. Secondly, panel data analysis is used to investigate three important transmission channels, namely those of Trade, Capital Flows and Exchange Rates for 25 developing economies. The results suggest that economic forecasters in 2008 on average overestimated GDP growth for 2012 by -21.6 percent (excluding Venezuela). The only important transmission channel identified using Trend analysis to explain this negative impact on growth was capital flows. However when using Panel regression analysis all three channels were found to explain the economic impact of the crisis on GDP growth for developing countries, conforming to economic theory. It was discovered that, contrary to what was initially expected, portfolio inflows actually increased for most developing countries during the crisis. This possibly can be explained by the impact of quantitative easing in the USA. South Africa was found to have been negatively impacted by the global financial crisis, but to a lesser extent when compared to most other developing countries. The findings are important for global investors looking for new investment opportunities. The extent to which individual economies are “decoupled” from developed economies’ performance provides possible opportunities for diversifying risk through a geographic spread of investor portfolios.