This study investigates: (i) the effect of foreign direct investment (FDI) on total factor productivity (TFP) and economic growth dynamics, and (ii) the relevance of value added from three economic sectors in modulating the established effect of FDI on TFP and economic growth dynamics. The...

Estimating the impact of HIV/AIDS epidemic on economic growth is challenging because of endogeneity concerns. In this paper, we use novel data on male circumcision and distance from the first HIV outbreak as instrumental variables for the HIV/AIDS epidemic in 241 regions across 25 countries in...

This paper examines the connections of structural change and economic openness to labour productivity growth using a panel data set of 41 countries in sub-Saharan Africa for the period 1991-2015. A dynamic panel model of cross-country productivity growth is estimated using the least squares with...

The question of what really drives economic growth in sub-Saharan Africa (SSA) has been debated for many decades now. However, there is still a lack of clarity on variables crucial for driving growth as prior contributions have been executed at the backdrop of preferential selection of...

This paper argues that SSA has derived a minimal growth benefit from trade because of what it exports and that the detrimental effect of primary commodity export dependence on SSA growth can be captured by two structural variables, natural barriers to trade (NBT, trade costs) and natural...

This study examines the drivers of growth in Sub-Saharan African countries, using aggregate data, from the past decade. We correlate recent growth experience to key determinants of growth, including private and public investment, government consumption, the exchange regime and real exchange...

Purpose - The purpose of this study is to investigate the impact of remittances on economic growth of least developed countries in Sub Saharan Africa (SSA). Design/methodology/approach - This study made use of annual data for the period of 1974 to 2017. It employed a time series model referred...

A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum...

A conspicuous lacuna in the literature on Sub-Saharan Africa (SSA) is the lack of clarity on variables key for driving and predicting inclusive growth. To address this, I train the machine learning algorithms for the Standard lasso, the Minimum Schwarz Bayesian Information Criterion (Minimum...

Structural transformation is one of the processes of productivity growth urgently needed in Sub-Saharan Africa (SSA). This study uses the catch-up mechanism to analyze how international contacts and domestic absorptive capacity constraints are shaping the pattern of structural transformation in...