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...

We investigate how foreign aid dampens the effects of terrorism on FDI using interactive quantile regressions. The empirical evidence is based on 78 developing countries for the period 1984-2008. Bilateral and multilateral aid variables are used, while terrorism dynamics entail: domestic,...

This paper models the feasibility of common policy initiatives against global terrorism, as well as timelines for their enforcement. The empirical evidence is based on 78 developing countries for the period 1984-2008. Employed terrorism dynamics are domestic, transnational, unclear and total...

Building on previous literature, we assess when foreign aid is effective in fighting terrorism using quantile regressions on a panel of 78 developing countries for the period 1984-2008. Bilteral, multilateral and total aid indicators are used whereas terrorism includes: domestic, transnational,...

This study complements existing literature by examining the nexus between energy consumption (EC), CO2 emissions (CE) and economic growth (GDP) in 24 African countries using a panel ARDL approach. The following findings are established. First, there is a long run relationship between EC, CE and...

This study examines conditional financial development from information sharing in 53 African countries for the period 2004-2011, using contemporary and non-contemporary quantile regressions (QR) which enable the assessment of the effect of information sharing throughout the conditional...