An Alternative Business Cycle Dating Procedure for South Africa

This paper applies a factor‐augmented Markov‐switching model to the South African economy to provide an alternative classification of the business cycle and its turning points. In the principal components step, 123 variables are used to establish the aggregate cyclicality in all sectors of the economy with the number of factors chosen using a modified Bai and Ng method. By exploiting the rich nature of the dataset, we provide a model with well‐defined statistical properties that compares favourably with the South African Reserve Bank (SARB) dating points. Combining the results of the parametric approach followed in the Markov‐switching model and the non‐parametric approach followed by the SARB should allow for a robust turning point analysis. A Markov‐switching model of real gross domestic product is also estimated because this variable is commonly used in the literature and provides a benchmark for the factor models.     

THE ROLE OF THE EXCHANGE RATE IN A NEW KEYNESIAN DSGE MODEL FOR THE SOUTH AFRICAN ECONOMY

We build a small open economy New Keynesian dynamic stochastic general equilibrium model for South Africa similar to Steinbach et al. We abandon their assumption of complete risk sharing with the foreign economy, and introduce country risk shocks to allow deviations from uncovered interest rate parity. These changes allow us to include the exchange rate as an observable variable in the estimation of the model. Using forecast error variance decompositions and historical decompositions, we show that country risk shocks have sizable effects on the South African business cycle. We also explore the optimal monetary policy implications of our model within the context of Taylor rules.     

HOW EXPOSED IS THE SOUTH AFRICAN ECONOMY TO INTERNATIONAL TRADE?

Following the policies implemented during the 1990s, the South African economy has become more globalised. This is particularly the case as far as international trade is concerned. The implementation of trade reforms, in some cases faster than WTO commitments, has increased the exposure of the South African economy to international trade. Trade in intermediate inputs increases the external orientation of an industry and hence increases the economy's exposure to trade. This in effect means that the economy is more open to external trade shocks than is conveyed by the traditional openness measure which considers only the trade in final products. This paper uses a measure proposed by Campa and Goldberg (1997) to estimate the exposure to trade and finds that around 79 per cent of output in 2000 was accounted for by industries that became more exposed to international trade. Further, domestic production has become more reliant on imported inputs with around 60 per cent of South Africa's GDP being accounted for by industries with a negative external orientation (i.e. industries where imported input costs exceeded export revenue). In addition, it was also found that those sectors that became more externally oriented had lower inflation rates and higher growth rates than the other sectors in the economy for the period under analysis. The extent to which the increased exposure to international trade facilitated these developments remains topical for further research.     

A BVAR MODEL FOR THE SOUTH AFRICAN ECONOMY

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 than a loose one. The out‐of‐sample‐forecast accuracy resulting from the BVAR model is compared with the same generated from the univariate and unrestricted VAR models. The BVAR model is found to produce the most accurate out of sample forecasts. The same is also capable of correctly predicting the direction of change in the chosen macroeconomic indicators.     

A SMALL-SCALE DSGE MODEL FOR FORECASTING THE SOUTH AFRICAN ECONOMY

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 the period of 2001:1 to 2005:4. The forecast errors are then compared with the unrestricted versions of the Classical and Bayesian VARs. A Bayesian VAR with relatively loose priors outperforms both the classical VAR and the DSGE model.     

COPING WITH INFLATION AND EXCHANGE RATE SHOCKS IN THE SOUTH AFRICAN ECONOMY

Over the past ten years South Africa has moved to an increasingly open economy, characterised by a (relatively) low inflation and large and unpredictable movements in the prices of financial assets. One of these asset prices is the value of the South African currency. This volatility in the exchange rate has a direct impact on inflation. Using the interest rate as operational target, a central bank might ignore or underestimate the exchange rate transmission mechanism through which the economy is influenced. This paper proposes a Monetary Conditions Index for South Africa that can be used as a policy rule or simply as an important information variable in conducting monetary policy under an inflation‐targeting regime with a volatile exchange rate.     

IMPACT ON ECONOMIC GROWTH OF DIFFERENTIAL POPULATION GROWTH IN AN ECONOMY WITH HIGH INEQUALITY

The economic growth of South Africa has been disappointing over the last quarter century. This note addresses a conceptual problem that arises because of composition effects. Two important features of the South African economy are, first, its extreme inequality (primarily between the white population and the African population). Additionally, the African population has been growing rapidly, while the white population has experienced a declining share. This note derives an explicit equation for the impact of inequality and population-growth differences on the growth of per capita GDP. It shows that the combination of divergent population growth and high inequality can lead to an apparent drag on measured economic growth even though the components, and a more adequate measure of economic welfare, are growing at a healthy rate.     

FORECASTING PERFORMANCE OF AN ESTIMATED DSGE MODEL FOR THE SOUTH AFRICAN ECONOMY

We construct a small open‐economy New Keynesian dynamic stochastic general equilibrium (DSGE) model for South Africa with nominal rigidities, incomplete international risk sharing and partial exchange rate pass‐through. The parameters of the model are estimated using Bayesian methods, and its out‐of‐sample forecasting performance is compared with Bayesian vector autoregression (VAR), classical VAR and random‐walk models. Our results indicate that the DSGE model generates forecasts that are competitive with those from other models, and it contributes statistically significant information to combined forecast measures.     

THE CHANGING VOLATILITY OF THE SOUTH AFRICAN ECONOMY

During the last decade economic literature explored the presence of and reasons for what became known as “the great moderation” in the US and other G7 countries. “The great moderation” describes the decrease in economic volatility experienced in many of the G7 countries. This paper finds that in South Africa volatility is also not constant (it even finds that there are autoregressive conditional heteroskedastic effects present) and that volatility also decreased, particularly since 1994. Following the literature, the paper explores several reasons for this decrease and finds that smaller shocks, better monetary policy and improvements in the financial sector that place less liquidity constraints on individuals and allow them to manage their debt better are some of the main reasons for the reduction in the volatility of the South African economy. The literature on the G7 also suggests that better inventory management contributed to the lower volatility. However, this seems not to be true for South Africa.     

Constraints to consumption of South Africa's national parks among the emerging domestic tourism market

Tourism plays a recognised role in the South African economy, even though it is faced with a number of challenges including levels of seasonality, geographic spread and differing levels of travel and tourism culture within population groups. Literature speaks to the role that domestic tourism can play in addressing these challenges. Within the South African context, emerging markets are population groups entering the market in increasing numbers as domestic tourists, especially those previously neglected during the years of segregation through apartheid. The focus of this exploratory study was to identify the constraints that deter the South African emerging black domestic market from visiting national parks, and more specifically the Kruger National Park. A survey of 350 individuals support existing literature, but highlight the importance of time, distance and affordability as constraints to this market. The study identifies areas in which products could be adapted, as well as aspects that could be considered when formulating marketing messages aimed at this market.     

SYNCHRONISATION BETWEEN SOUTH AFRICA AND THE U.S.: A STRUCTURAL DYNAMIC FACTOR ANALYSIS

This paper studies the synchronisation of the South African and the US cycles and transmission channels through which supply and demand shocks from the US affect economic activity in South Africa in a structural dynamic factor model framework. We find, using the full-sample period, US supply shocks are transmitted to South Africa through business confidence and imports of goods and services; while US demand shocks are transmitted via interest rates, stock prices, exports of goods and services, and real effective exchange rates. Second, there is a decrease in integration over time translated by a drop in synchronisation of cycles. The impact of an increase in comovement of GDP is outweighed by the structural reforms initiated by the government after the end of apartheid. Finally, the idiosyncratic component still plays an important role in the South African economy.     

BAYESIAN METHODS OF FORECASTING INVENTORY INVESTMENT

This paper develops a Bayesian Vector Error Correction Model (BVECM) for forecasting inventory investment. The model is estimated using South African quarterly data on actual sales, production, unfilled orders, price level and interest rate, for the period 1978 to 2000. The out-of-sample-forecast accuracy obtained from the BVECM over the forecasting horizon of 2001:1 to 2003:4, is compared with those generated from the classical variant of the Vector Autoregresssive (VAR) model and the VECM, the Bayesian VAR, and the recently developed ECM by Smith et al. , for the South African economy. The BVECM with the most-tight prior outperforms all the other models, except for a relatively tight BVAR which also correctly predicts the direction of change of inventory investment over the period of 2004:1 to 2006:3.     

FORECASTING THE SOUTH AFRICAN ECONOMY WITH GIBBS SAMPLED BVECMs

The paper uses the 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 forecasts GDP, consumption, investment, short and long term interest rates, and the CPI over the period of 2001:1 to 2005:4. We find that a tight prior produces relatively more accurate forecasts than a loose one. The out‐of‐sample‐forecast accuracy resulting from the Gibbs sampled BVECM is compared with those generated from a Classical VECM and a homoscedastic BVECM. The homoscedastic BVECM is found to produce the most accurate out of sample forecasts.     

FORECASTING THE SOUTH AFRICAN ECONOMY WITH VARs AND VECMs

The paper develops a Bayesian Vector Error Correction Model (BVECM) of the South African economy for the period 1970:1‐2000:4 and forecasts GDP, consumption, investment, short and long term interest rates, and the CPI. We find that a tight prior produces relatively more accurate forecasts than a loose one. The out‐of‐sample‐forecast accuracy resulting from the BVECM is compared with those generated from the Classical variant of the VAR and VECM and the Bayesian VAR. The BVECM is found to produce the most accurate out of sample forecasts. It also correctly predicts the direction of change in the chosen macroeconomic indicators.     

Will the Sarb always Succeed in Fighting Inflation with Contractionary Policy?

The conventional view is that a monetary policy shock has both supply‐side and demand‐side effects, at least in the short run. Barth and Ramey show that the supply‐side effect of a monetary policy shock may be greater than the demand‐side effect. We argue that it is crucial for monetary authorities to understand whether an increase in expected future inflation is due to supply shocks or demand shocks before applying contractionary policy to forestall inflation. We estimate a standard New Keynesian dynamic stochastic general equilibrium model with the cost channel of monetary policy for the South African economy to show that whether the South African Reserve Bank should apply contractionary policy to fight inflation depends critically on the nature of the disturbance. If an increase in expected future inflation is mainly due to supply shocks, the South African Reserve Bank should not apply contractionary policy to fight inflation, as this would lead to a persistent increase in inflation and a greater loss in output. Our estimation results also show that with a moderate level of cost‐channel effect and nominal rigidities, a New Keynesian dynamic stochastic general equilibrium model with the cost channel of monetary policy is able to mimic the price puzzle produced by an estimated vector autoregressive model.     

Does purchasing power parity survive political shocks in South Africa?

Does Purchasing Power Parity Survive Political Shocks in South Africa? — The objectives of the paper are to examine the Purchasing Power Parity (PPP) hypothesis for the South African economy during the period 1975–1994 using high-frequency data. The analysis is conducted both for the entire period and also for different subperiods in order to take into account possible structural changes. For the rand/ dollar exchange rate, the authors find on the basis of a unique long-run cointegrating relationship that there is significant evidence supporting the PPP hypothesis for the entire period. The use of nonlinear least squares and Johansen-Juselius procedures is made to reach the above conclusion.     

A PANEL DATA APPROACH TO THE BEHAVIOURAL EQUILIBRIUM EXCHANGE RATE OF THE ZAR

The question of currency over- or undervaluation is often asked and implies the existence of an equilibrium exchange rate (EER). The aim of this research was to determine the long-term EER of the South African rand using the behavioural equilibrium exchange rate (BEER) methodology. This paper used a panel of data from South Africa's main trading partners to estimate the relationship between the EER and its fundamental determinants using dynamic ordinary least squares (OLS) and fully modified OLS. The average coefficients obtained describe the long-term behaviour of the individual countries' real exchange rates. Substituting the observed fundamental time series into the estimated equation derives the EER for each country and over- and undervaluation can be determined. The results indicated that the fundamental value of the exchange rate was driven by economic growth, the openness of the economy, its foreign reserves, the real gold price and capital expenditure. The exchange rate also fluctuated considerably around its equilibrium level but there is not long sustained periods of over- and undervaluation.     

Exchange rate volatility and agricultural trade under policy reforms in South Africa

Decades of government intervention have helped develop the South African agriculture sector to its present state. Policy reforms have included trade and exchange rate policies to increase the country's international competitiveness, reduce poverty and promote economic growth. These reforms are facilitating the growth in agricultural trade and South Africa's reintegration into the global economy. Annual agricultural exports and imports have increased. This paper uses annual data and a vector error-correction model to investigate the supply and demand relationships for agricultural trade flows in South Africa during the past four decades. The results show that prices, real exchange rates, domestic production capacity and real incomes have significant impacts on the country's agricultural trade. In particular, exchange rate volatility has negative impacts. This cannot be viewed solely as an exogenous source of macroeconomic instability in South Africa, as domestic policies play a crucial role in influencing the movement of exchange rates.     

PATTERNS OF CO‐MOVEMENT BETWEEN SOUTH AFRICA AND GERMANY: EVIDENCE FROM THE PERIOD 1985 TO 2006

This paper examines the co‐movement between Germany and South Africa by applying a dynamic factor model. Because these two countries have a long history of predominant trade ties, they deemed to be suitable proxies to analyse the channels of transmission of positive supply and demand shocks in a developed economy and the effects of these on an emerging market economy. In contrast to general expectations, the paper concludes that a German supply shock has more of a demand‐shock effect on the South African economy, while a German demand shock is transmitted through price in South Africa. This implies that the policy response in South Africa should not necessarily be the same as in Germany.     

THE EQUITY PREMIUM AND RISK-FREE RATE PUZZLES IN A TURBULENT ECONOMY: EVIDENCE FROM 105 YEARS OF DATA FROM SOUTH AFRICA

This paper presents a detailed empirical examination of the South African equity premium, and a quantitative theoretic exercise to test the canonical inter-temporal consumption-based asset-pricing model under power utility. Over the long run, the South African stock market produced average returns six to eight percentage points above bonds and cash, and at the 20-year horizon, an investor would not have experienced a single negative realised equity premium over the entire 105-year period we examine. Yet the maximum equity premium rationalised by the consumption-based model is 0.4%. The canonical macro-financial model closely matches the average risk-free rate, using realistic parameters for the coefficient of risk aversion and a positive rate of time preference.