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...

Policy recommendations for building resilient and all-inclusive societies post COVID-19 pandemic continue to dominate the media and research landscapes. However, rigorous empirical content backing such claims, particularly, on both poverty and income inequality, is hard to find. Motivated by the...

Policy recommendations for building resilient and all-inclusive societies post COVID-19 pandemic continue to dominate the media and research landscapes. However, rigorous empirical content backing such claims, particularly, on both poverty and income inequality, is hard to find. Motivated by the...

The study examines the effectiveness of financial development, financial access, and ICT diffusion in reducing the severity and intensity of poverty in Sub-Saharan Africa (SSA). Using data from the World Bank's World Development Indicators, and the Global Consumption and Income Project...

The study examines the effectiveness of financial development, financial access, and ICT diffusion in reducing the severity and intensity of poverty in Sub-Saharan Africa (SSA). Using data from the World Bank’s World Development Indicators, and the Global Consumption and Income Project...

The study examines the effectiveness of financial development, financial access, and ICT diffusion in reducing the severity and intensity of poverty in Sub-Saharan Africa (SSA). Using data from the World Bank's World Development Indicators, and the Global Consumption and Income Project...

Policy recommendations for building resilient and all-inclusive societies post COVID-19 pandemic continue to dominate the media and research landscapes. However, rigorous empirical content backing such claims, particularly, on both poverty and income inequality, is hard to find. Motivated by the...

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...