THE RELATIONSHIP BETWEEN TOURISM AND TRADE IN SOUTH AFRICA

This article explores the relationship between tourist arrivals and trade in South Africa. Two analyses were conducted – a panel data analysis, which included tourism and trade data of 40 countries with South Africa, and a time‐series analysis that involved South Africa's main tourism and trade partners. Cointegration tests, Granger causality and Block exogeneity tests were used to investigate the nature of the relationship. The results of the panel data analysis show that for South Africa as a whole, there is indeed a long‐term relationship between tourist arrivals and trade, and that bidirectional causality exists. The results for the country case studies are mixed, although the evidence is stronger for the hypothesis that tourism causes trade.     

THE RELATIONSHIP BETWEEN SAVING AND GROWTH IN SOUTH AFRICA: A TIME SERIES ANALYSIS

This paper uses the Johansen VECM estimation technique to examine the directions of association between saving and growth in South Africa over the period 1946–1992. We examine the aggregate private saving rate and its interaction with investment and growth. The paper finds that the private saving rate has a direct, as well as, an indirect effect on growth. The indirect effect is through the private investment rate. In turn, we find that growth has a positive effect on the private saving rate. The extent of this effect is determined by liquidity constraints. Thus, we have a virtuous cycle, as growth enhances saving, which in turn further enhances growth.     

REVISITING INFORMAL EMPLOYMENT AND SEGMENTATION IN THE SOUTH AFRICAN LABOUR MARKET

This study revisits the definition of informal employment, and it investigates the puzzle of high open unemployment co‐existing with relatively limited informal employment in South Africa. We estimate earnings equations using data from the September 2004 Labour Force Survey and present evidence of persistent earnings differentials not only between formal and informal employment, but also between types of informal employment. These persistent earnings differentials are suggestive of complex segmentation in the South African labour market and challenge the presentation of informal employment as an undifferentiated residual with no barriers to entry or mobility.     

HIV/AIDS AND POVERTY IN SOUTH AFRICA: A BAYESIAN ESTIMATION OF SELECTION MODELS WITH CORRELATED FIXED‐EFFECTS

In this paper, we estimate the causal impact of human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) on monetary poverty using a panel database from South Africa. We treat endogeneity and selection problems associated with HIV/AIDS by a selection model that includes correlated fixed effects both in the level and in the participation equations, which are estimated simultaneously via original Bayesian methods. We model the consequences of the illness on both labour income and income transfers, and disentangle between urban and rural households. While no significant impact of HIV/AIDS on labour income is found because of households' recomposition, we find a substantial fall in received transfers among rural population and a dramatic increase in chronic poverty.     

THE IMPACT OF HIV/AIDS ON ECONOMIC GROWTH IN SUB‐SAHARAN AFRICA1

This study investigates the hypothesis that HIV/AIDS epidemic slows down the pace of economic growth. We examine 41 Sub‐Saharan African countries by using the empirical growth equation in an augmented Solow model in which health capital serves as a determinant of human capital. Econometric analysis is based on panel data and covers the period 1997‐2005. We control for a variety of factors possibly correlated with HIV prevalence that might also influence economic growth. As a key result we prove that the epidemic has a significant negative effect on the growth rate of per capita GDP in Sub‐Saharan Africa.     

REVIEW OF THE FINANCIAL AND ECONOMIC SITUATION IN SOUTH AFRICA*

I have pleasure in formally presenting to you the Final Accounts of the Bank, and the Reports of the Board and the Auditors, for the year ended 31st March 1969. I also submit to you the Bank's Annual Economic Report which describes in some detail the economic and monetary developments in South Africa during the year ended June 1969 and which in general serves as a background to my remarks today. As is customary, however, I will survey these developments very briefly before discussing the present situation and the prospects for the near future.     

THE INTERTEMPORAL RELATION BETWEEN MONEY AND PRICES IN SOUTH AFRICA*

Several studies have emphasized the need to ‘filter’ the money growth and inflation data before a clear short‐run intertemporal relation between them is revealed. When a simple filtering technique is employed to changes in money and prices, the correlation of the series tends to increase as the filter used shifts to lower frequency data. The technique also reveals a statistically significant relation between money and inflation, a pattern of Granger causality that has changed with changes in the monetary and exchange rate regime during 1965‐2005, and much shorter leads/lags between money and inflation than those typically found in similar studies of the experience of developed economies.     

THE PREDICTABILITY OF STOCK MARKET RETURNS IN SOUTH AFRICA: PARAMETRIC VS. NON‐PARAMETRIC METHODS

This paper compares the forecasting performance of a sub‐class of univariate parametric and non‐parametric models in predicting stock market returns in South Africa. To account for conditional heteroskedasticity in stock returns data, the non‐parametric model is generated by the conditional heteroskedastic non‐linear autoregressive (NAR) model, while the parametric model is produced by the generalised autoregressive conditional heteroskedastic in mean (GARCH‐M) model. The results of the paper show that the NAR as a non‐parametric model performs better than the GARCH‐M model in short‐term forecasting horizon, and this indicates the importance of a distribution‐free model in predicting stock returns in South Africa.     

LONG MEMORY IN THE VOLATILITY OF AN EMERGING FIXED‐INCOME MARKET: EVIDENCE FROM SOUTH AFRICA

This paper tests for long memory in volatility of fixed‐income returns; specifically, South Africa's local currency 10‐year government bond, given that the characterisation of stochastic long‐memory volatility is of interest and importance in portfolio and risk management. The long‐memory parameter is estimated using methods based on wavelets, which have gained prominence in recent years. Evidence of long memory in fixed‐income return volatility is conclusively demonstrated across a variety of volatility measures and wavelet forms. This finding suggests a pattern of time dependence, which may potentially be exploited to generate improved volatility forecasting performance especially over long horizons. This paper further extends the extant literature by comparing the predictive power of long‐memory forecasts with those obtained from a standard (short‐memory) generalised autoregressive conditional heteroskedasticity (GARCH) process. The results of this exercise suggest that the information content of long‐memory models does not lead to improved forecast accuracy. The GARCH(1,1) model is shown to provide the best forecasts across most horizons (i.e. daily, weekly and monthly). Forecast performance is further revealed to be sensitive to the choice of volatility proxy used. Finally, the derived volatility forecasts are generally very close, and in some cases, almost indistinguishable.