Showing 1 - 8 of 8
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...
Persistent link: https://www.econbiz.de/10012650683
The study employs macro data on 42 African countries to examine whether remittances and financial development (including its sub-components of access, depth and efficiency) contribute to the equalisation of incomes across the continent. Robust evidence from the dynamic GMM estimator shows that:...
Persistent link: https://www.econbiz.de/10013257108
This study uses machine learning techniques to identify the key drivers of financial development in Africa. To this end, four regularization techniques- the Standard lasso, Adaptive lasso, the minimum Schwarz Bayesian information criterion lasso, and the Elasticnet are trained based on a dataset...
Persistent link: https://www.econbiz.de/10012667322
The study employs macro data for 42 African countries to examine the interactive and threshold effects of financial development in the remittances-inclusive growth relationship. First, evidence based on the system GMM estimator shows that remittances are not statistically significant in...
Persistent link: https://www.econbiz.de/10014265891
The study employs macro data for 42 African countries to examine the interactive and threshold effects of financial development in the remittances-inclusive growth relationship. First, evidence based on the system GMM estimator shows that remittances are not statistically significant in...
Persistent link: https://www.econbiz.de/10014549359
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...
Persistent link: https://www.econbiz.de/10012801033
This study uses machine learning techniques to identify the key drivers of financial development in Africa. To this end, four regularization techniques- the Standard lasso, Adaptive lasso, the minimum Schwarz Bayesian information criterion lasso, and the Elasticnet are trained based on a dataset...
Persistent link: https://www.econbiz.de/10012801040
The study employs macro data on 42 African countries to examine whether remittances and financial development (including its sub-components of access, depth and efficiency) contribute to the equalisation of incomes across the continent. Robust evidence from the dynamic GMM estimator shows that:...
Persistent link: https://www.econbiz.de/10014278375