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...

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...

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...

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,...

We assess drivers of FDI in a panel of BRICS and MINT countries for the period 2001-2011. We bundle and unbundle governance determinants using a battery of contemporary and non-contemporary estimation techniques. The following findings are established. First, for both contemporary and...

This paper examines FDI determinants in the BRICS and MINT throughout the conditional distributions of FDI for the period 2001-2011. An instrumental variable quantile regression estimation strategy is employed based on the intuition that, the determinants are contingent on initial or existing...

This study complements the scarce literature on growth determinants in fast emerging economies of the BRICS and MINT by assessing the determinants throughout the conditional distributions of the growth rate and real GDP output for the period 2001-2011. An instrumenal variable (IV) quantile...

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...

Purpose - We assess growth determinants in the BRICS (Brazil, Russia, India, China and South Africa) and MINT (Mexico, Indonesia, Nigeria and Turkey) fast-developing nations for the period 2001-2011. Particular emphasis is laid on the bundling and unbundling of ten governance dynamics....

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,...