Jan Gottschalk

The Macroeconomics of Medium-Term Aid Scaling-Up Scenarios

We develop a model to analyze the macroeconomic effects of a scaling-up of aid and assess the implications of different policy responses. The model features key structural characteristics of low-income countries, including varying degrees of public investment efficiency and a learning-by-doing (LBD) externality that captures Dutch disease effects. On the policy front, it distinguishes between spending the aid, which is controlled by the fiscal authority, and absorbing the aid - financing a higher current account deficit - which is influenced by the central banks reserve accumulation policies. We calibrate the model to Uganda and run several experiments. We find that a policy mix that results in full spending and absorption of aid can generate temporary demand and real exchange rate appreciation pressures, but also have a positive effect on real GDP in the medium term, through higher public capital. Full spending with partial absorption, on the other hand, may stem appreciation pressures but can also induce adverse medium-term real GDP effects, through private sector crowding out. When aid is very inefficiently invested and there are strong LBD externalities, aid can be harmful, and partial absorption policies may be justified. But in this case, a welfare improving solution is to defer spending or - even better if possible - raise its efficiency.

Default in Today's Advanced Economies; Unnecessary, Undesirable, and Unlikely

This note summarizes the main arguments put forward by some market commentators who argue that default is inevitable, and presents a rebuttal for each argument in turn. Their main arguments focus on the size of the adjustment and continued market concerns reflected in government bond spreads. The essence of our reasoning is that the challenge stems mainly from the advanced economies’ large primary deficits. Thus, by lowering the interest bill while triggering the need to move to primary balance or a small primary surplus, default would not significantly reduce the need for major fiscal adjustment. In contrast, the emerging economies that defaulted in recent decades did so primarily as a result of high debt servicing costs, often in the context of major external shocks. We conclude that default would be ineffective and undesirable in today’s advanced economies.

Sources of Nominal Exchange Rate Fluctuations in South Africa

This paper investigates the sources of fluctuations in the rand-U.S. dollar exchange rate in 2001 and 2002 using an empirical exchange rate model which identifies aggregate supply, aggregate demand, and nominal disturbances as possible sources for exchange rate fluctuations. According to our results, nominal disturbances explain by far most of the rand depreciation in the final quarter of 2001. The fact that the nominal effective exchange rate also depreciated sharply suggests the nominal disturbances were domestically generated. From a preliminary examination of the relative movements in policy interest rates in South Africa and the United States, along with growth rates in both narrow and broad monetary aggregates in South Africa, it is difficult to isolate the underlying cause of the nominal disturbances in 2001 and 2002. Clearly, the task remains a challenging one with the empirical tools available.

Analyzing Determinants of Inflation When There are Data Limitation: The Case of Sierra Leone

This paper examines the determinants of inflation in Sierra Leone using a structural vector autoregression (VAR) approach to help forecast inflation for operational purposes. Despite data limitations, the paper accurately models inflation in Sierra Leone. As economic theory predicts, domestic inflation is found to increase with higher oil prices, higher money supply, and nominal exchange rate depreciation. The paper then employs a historical decomposition approach to pinpoint the sources of a marked decline in inflation in 2006 and assesses its forecasting properties. Overall, the model serves as a useful addition to the toolkit for analyzing and forecasting inflation in countries with limited data availability.

Enhancing Development Assistance to Africa : Lessons from Scaling-Up Scenarios

The pace of progress toward achievement of the Millenium Development Goals (MDG) in many sub-Saharan African countries remains too slow to reach targets by 2015, despite significant progress in the late 1990s. The MDG Africa Steering Group, convened in September 2007 by the UN Secretary-General, designated 10 countries for pilot studies to investigate how existing national development plans would be impacted by scaled up development aid to Africa. This joint publication of the IMF and the United Nations Development Programme reports conclusions drawn from these pilot studies and summarizes country-specific results for Benin, the Central African Republic, Ghana, Liberia, Niger, Rwanda, Tanzania, Togo, Sierra Leone, and Zambia.

The Real Exchange Rate; Assessment and Trade Impact in the Context of Fiji and Samoa

This paper provides an assessment of real exchange rate measures and their impact on trade performance with special reference to two Pacific island countries, Fiji and Samoa. The analysis shows that the commonly used CPI-based real effective exchange rate (REER) measure provides a useful starting point of assessment, but alternative measures based on other price and cost indices should be used to check the robustness of the results, particularly given the large impact of global commodity prices on small open economies. The paper also offers some illustrations of how to quantify the impact of exchange rate movements on trade, especially in the face of data constraints in small open economies.

The Macroeconomic Effects of Natural Resource Extraction: Applications to Papua New Guinea

To investigate the effects on Papua New Guinea’s economy of substantial liquified natural gas revenues arriving in 2015, we employ a model to examine the macroeconomic effects of a scalingup of natural resource windfall revenues and the implications for a variety of policy responses. The model is a multi-sector dynamic stochastic general equilibrium (DSGE) model, and features components that allow for a detailed study of the effects of both fiscal and monetary policy in response to a positive shock to the mineral resource value of a country. The model contains tradable, non-tradable, and mining sectors, as well as an independent central bank and fiscal authority. We calibrate the model to the current economy of Papua New Guinea and run a suite of policy simulations. We find that macroeconomic effects from a resource boom typically associated with Dutch Disease effects such as a real appreciation and a fall in tradable sector production stem largely from the non-tradable component of government spending. The central bank can offset the real appreciation, but not without crowding out the private sector. A sovereign wealth fund (SWF), combined with a smooth capital spending path, entails the best means of dealing with macroeconomic volatility and maintaining a stable fiscal regime.

Analyzing Determinants of Inflation When There Are Data Limitation

This paper examines the determinants of inflation in Sierra Leone using a structural vector autoregression (VAR) approach to help forecast inflation for operational purposes. Despite data limitations, the paper accurately models inflation in Sierra Leone. As economic theory predicts, domestic inflation is found to increase with higher oil prices, higher money supply, and nominal exchange rate depreciation. The paper then employs a historical decomposition approach to pinpoint the sources of a marked decline in inflation in 2006 and assesses its forecasting properties. Overall, the model serves as a useful addition to the toolkit for analyzing and forecasting inflation in countries with limited data availability.