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Presentation of study data
As part of this project of memory project, we are particularly interested in economic growth in Africa. Variables dictated by literary and empirical journals will be retrieved from the World Bank database. In this case, GDP per capita, fossil energy consumption, physical capital ... etc. Other unobservable variables will be able to be calculated. In this sense, it is the savings rate, the net capital inflow, the rates of commercial opening. Our values are in current dollars. The study period or the interval by which we analyze the theme is between 1960 and 2016. In truth, more data remains unavailable for the year 2017. We will then solicit methods of clearing and correction of the missing values before to be able to carry out studies whose prospects seem already purified in the general introduction.
Analysis of econometric results
The table opposite shows the results of dynamic panel models. In the literature, there is a variety of dynamic methods, that is, that includes the endogenous variable delayed by one period. In this sense, we present some examples of these models, although there are dynamic SDM AND SAR models, we will restrict ourselves to the maximum likelihood model. Among other things, it turns out that the estimators of the dynamic panel maximum likelihood method are very competitive and attests to the fact that the existence of a possible conditional convergence of economies in Africa is taken into account when considering the spatial framework. In addition, the control variables are significant except in the human capital variable. Although the savings rate is significant, it has a positive impact on growth per capita.
ADAN, A.-B. (2018). Croissance Economique et Développement Durable en Afrique: Analyses Statistiques et Econométriques [Kindle]. Amazon Media EU S.à r.l.
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