This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing...

This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing...

This study uses nightlight time data and machine learning techniques to predict industrial development in Africa. The results provide the first evidence on how machine learning techniques and nightlight data can be used to predict economic development in places where subnational data are missing...

This study assesses the synergy effects of governance in mobile phone penetration for inclusive human development in Sub-Saharan Africa with data for the period 2000-2012 by employing a battery of interactive estimation techniques, namely: Fixed effects (FE), Generalised Method of Moments (GMM)...

The success of inclusive development strategies in the post-2015 sustainable development agenda depends substantially on the adoption of common inclusive development policies among nations. Building on the relevance of a knowledge economy in the post-2015 development agenda, this study models...

Using data for 49 African countries over the years spanning 2000-2012, and controlling for a wide range of factors, this study empirically assesses the effects of formal institutions on ICT adoption in developing countries. It deploys 2SLS and FE regression models, (a) to estimate what...

A recent World Bank report reveals that poverty has been decreasing in all regions of the world with the exception of sub-Saharan Africa (SSA) as more than 45% of countries in the sub-region are off-track from achieving the Millennium Development Goal (MDG) extreme poverty target. This paper...