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.     

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.     

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.     

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.     

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.     

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.     

A STOCHASTIC ESTIMATION FRAMEWORK FOR COMPONENTS OF THE SOUTH AFRICAN CONSUMER PRICE INDEX

Under inflation targeting in South Africa, it is important to monitor and forecast changes in prices, not only for aggregate measures of the consumer price index, but also its underlying sub-components. Hypotheses about sectoral transmission of policy and shocks are often more specific than hypotheses about overall transmission. This study employs a stochastic framework to estimate richly specified equilibrium correction models, four-quarters-ahead, for the 10 sub-components of the first targeted measure of the consumer price index, CPIX. The stochastic trends are estimated by the Kalman filter, and interpreted as capturing structural breaks and institutional change, a frequent cause of forecast failure. The trends suggest the design of deterministic split trends for use in recursive forecasting models, towards more accurate overall inflation forecasting. This research also has practical use for monetary policy in allowing identification of sectoral sources of inflation.     

THE SOUTH AFRICAN PHILLIPS CURVE: HOW APPLICABLE IS THE GORDON MODEL?

Is there a Phillips curve relationship present in South Africa and if so, what form does it take? Traditionally the method to establish whether or not there is a relationship between the output gap and the change in inflation is merely to regress the latter on the former. This yields the well‐known augmented Phillips curve. However, Gordon has argued that this specification of the Phillips curve produces biased results. Instead, he puts forward and estimates successfully for several industrialised countries his so‐called triangular model that tests for hysteresis and inertia in the behaviour of inflation, as well as the impact on inflation of changes in the output level. This paper considers whether or not Gordon's triangle model is applicable to South Africa, i.e. are hysteresis and inertia present in South Africa? In addition, in an attempt to find a better estimation of the output gap, the paper also experiments with alternative ways to estimate the long‐run output level, including the standard HP‐filter, as well as a production function approach.     

THE SENSITIVITY OF SOUTH AFRICAN INFLATION EXPECTATIONS TO SURPRISES

Price stability is widely recognised as the primary goal of modern monetary policy, and the management of private sector inflation expectations has become an essential channel through which this goal is achieved. This evaluation aims to improve the understanding of how the sensitivity of private sector inflation expectations to macroeconomic surprises in South Africa compares internationally, as this provides an indication of the contribution of monetary policy in South Africa to anchoring inflation expectations. If a central bank is credible, the financial markets should react less sensitively to macroeconomics surprises, because they trust the central bank to manage these incidents and achieve the objectives they communicated over the medium to long term. In this paper, the methodology of Gurkaynack et al. is adopted in order to measure the sensitivity of South African inflation expectations to surprises. A comparison of South Africa's results with those of countries in the original studies supports the contention that the SARB (South African Reserve Bank) has encouraged inflation expectations to be relatively insensitive to macroeconomic surprises, and offers support for the inflation-targeting framework as a means to help anchor inflation expectations.     

REVISITING SOUTH AFRICAN EMPLOYMENT TRENDS IN THE 1990S

This article revisits South African employment trends recorded since 1995. In particular, it investigates whether the job losses and gains recorded by the October Household Survey jobs in the mid-1990s reflect the reality. This is done by comparing the different official data sets, and by exploring alternative sources of information for three sectors that substantially influenced this trend, namely formal agriculture, mining, and community, social and personal services. Potential inconsistencies within the October Household data are assessed, particularly in relation to the distribution of employees across formal and informal sectors and the categorisation of unpaid family workers. The implications of possible changes to the employment trend from 1995-2006 are considered. This article finds that the evidence is strong enough to call into question published employment trends. According to the October Household Survey, formal employment fell by 1.4 million between 1995 and 1997. The OHS and Labour Force Survey shows that formal employment then grew by 1.9 million between 1997 and 2006. According to the revised figures presented in this paper, 73,000 to 530,000 formal jobs were lost between 1995 and 1997 and 1.4 million net new jobs were created between 1997 and 2006. It is therefore possible that the plummeting and "recovery" of employment in the 1990s were both considerably less dramatic than that reflected in the official statistics. Further research and investigation would be required to validate these trends.     

THE PRICE OF RISK IN THE SOUTH AFRICAN EQUITY MARKET

This paper investigates domestic risk–return behaviour by focussing on the intertemporal relationship between the conditional domestic equity market premium, its conditional variance and its conditional covariance with the international equity market. The paper finds that the domestic equity market prices in both domestic and international diversification risk. The estimated daily price of domestic variance risk is 0.0279% (EAR: 7.28%) for every one unit of expected domestic variance. The estimated daily price of covariance risk is 0.0111% (EAR: 2.83%) for every unit of expected covariance risk. The representative domestic investor values domestic variance more than covariance risk. The variances of domestic and international equity returns are found to be time‐varying, as is the covariance between the two. Evidence is found that the Johannesburg Securities Exchange is not perfectly integrated with the world economy, in an absolute sense. The volatility spillover effect is observed to be both significant and positive. The standard Capital Asset Pricing Model misspecifies the return to domestic risk, biasing the risk–return coefficient upwards. Domestic investors are rewarded for holding internationally diversified portfolios, with an internationally diversified portfolio expected to have an additional daily return of 0.0238% (EAR: 6.29%) for the same level of risk as an entirely domestic equity portfolio.     

ON THE CYCLICALITY OF SOUTH AFRICAN FISCAL POLICY

This paper examines the cyclicality of government revenue, spending and the key fiscal balances in South Africa during 1972‐2001. The results suggest that while government revenues were largely acyclical, government spending appears to have been predominantly counter‐cyclical, in line with the recommendations of neoclassical analysis. In addition, countercyclical government spending appears to have translated into a countercyclical policy stance overall. This finding contrasts markedly with the results from other empirical studies of South Africa and other emerging market and developing economies, which typically indicate procyclical fiscal policy.     

ECONOMIC IMPACT ANALYSIS OF PORT DEVELOPMENT ON THE SOUTH AFRICAN ECONOMY

Ports have been regarded as economic infrastructure and catalysts for the economies they serve, and it is evident that the associated development would generate economic benefits. In this paper, the economy‐wide impacts of port development in South Africa are examined via a computable general equilibrium analysis. Central to the analysis is to make quantitative contributions to the understanding of the impacts of port investment and changes in freight costs on the national economy. The results support the economic significance of port development, as a means of promoting growth, trade and employment, in South Africa.     

DYNAMIC TIME INCONSISTENCY AND THE SOUTH AFRICAN RESERVE BANK

This paper derives the econometric restrictions imposed by the Barro and Gordon model of dynamic time inconsistency on a bivariate time-series model of consumer price index (CPI) inflation and real gross domestic product (GDP), and tests these restrictions based on quarterly data for South Africa covering the period of January 1960-April 1999, i.e. for the pre-inflation targeting period. The results show that the data are consistent with the short- and long-run implications of the theory of time-consistent monetary policy. Moreover, when the model is used to forecast one-step-ahead inflation over the period of January 2001-February 2008, i.e. the period covering the starting point of the inflation-targeting regime until date, we, on average, obtain lower rates of inflation. The result tends to suggest that the South African Reserve Bank perhaps needs to manage the inflation-targeting framework better than it has done so far.     

THE PROPERTIES OF CYCLES IN SOUTH AFRICAN FINANCIAL VARIABLES AND THEIR RELATION TO THE BUSINESS CYCLE

The paper describes cyclicality in a range of local and international financial variables and their relation to cyclical behaviour in the South African real economy. Cycles are derived using a dating algorithm similar to that used to determine business cycle turning points and falls within the Burns‐Mitchell tradition of business cycle analysis. Co‐movement between phases in financial variables and similar phases in the business cycle are described using the concordance statistic, instead of the correlation statistic (which requires stationarity). This is a preliminary step in identifying financial variables that can act as leading indicators of economic activity.