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.     

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.     

ON THE RAND: DETERMINANTS OF THE SOUTH AFRICAN EXCHANGE RATE

This paper is an econometric investigation of the determinants of the real value of the South African rand over the period 1984‐2007. The results show a relatively good fit. As always with exchange rate equations, there is substantial weight on the lagged exchange rate, which can be attributed to a momentum component. Nevertheless, economic fundamentals are significant and important. This is especially true of an index of the real prices of South African mineral commodities, which even drives out real income as a significant determinant. An implication is that the 2003‐2006 real appreciation of the rand can be attributed to the Dutch Disease. In other respects, the rand behaves like currencies of industrialised countries with well‐developed financial markets. In particular, high South African interest rates raise international demand for the rand and lead to real appreciation, controlling also for a forward‐looking measure of expected inflation and a measure of default risk or country risk.     

CAPITAL CONTROLS,TWO‐TIERED EXCHANGE RATE SYSTEMS AND EXCHANGE RATE POLICY: THE SOUTH AFRICAN EXPERIENCE

South Africa's 40 years of experience with capital controls on residents and non‐residents (1961‐2001) reads like a collection of examples of perverse unanticipated effects of legislation and regulation. We show that the presence of capital controls on residents and non‐residents enabled the South African Reserve Bank to target domestic interest rates (and or the exchange rate) via interventions in the (commercial) foreign exchange market. This provides an early rationale for anchoring SA monetary policy via the exchange rate, rather than via domestic interest rates. This suggests not only that the capital controls themselves exhibited substantial institutional inertia, but that this same institutional inertia also applied to the monetary policy regime. A plausible reason for this is that for most of the 20th century in South Africa. (partial) capital controls and exchange rate based monetary policies were like Siamese twins – almost impossible to separate.     

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 SOUTH AFRICAN INFLATION

This paper looks at what variables are useful for forecasting inflation starting in 1990. I show that the output gap, a measure of real economic conditions, does seem to provide useful information for forecasting inflation. This is good news for the Reserve Bank, since the primary way that the Reserve Bank tries to affect future inflation is through real economic conditions. In addition, short‐term interest rates and import price inflation also seem to provide useful information. The most accurate of these forecasts suggests a root mean square forecast error of 1–2 per cent for 1‐year ahead inflation, which is within the Reserve Bank's current target range.     

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.     

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.     

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.     

EFFECTS OF THE REAL EXCHANGE RATE ON OUTPUT AND INFLATION: EVIDENCE FROM TURKEY

This paper assesses the effects of real depreciation on the economic performance of Turkey by considering quarterly data from 1987:I to 2001:III. The empirical evidence suggests that, contrary to classical wisdom, the real depreciations are contractionary, even when external factors like world interest rates, international trade, and capital flows are controlled. Moreover, the results obtained from the analyses indicate that real exchange rate depreciations are inflationary.     

AN OPEN ECONOMY NEW KEYNESIAN DSGE MODEL OF THE SOUTH AFRICAN ECONOMY

In this paper an open economy New Keynesian model of the South African economy is presented. The model is constructed to provide for incomplete pass-through of exchange rate changes, external habit formation, partial indexation of domestic prices and wages to past inflation, and staggered price and wage setting. Furthermore, the model is estimated using Bayesian techniques on South African domestic and trade partner data for the period 1990Q1 to 2007Q4. The estimated model is analysed by means of impulse response functions.