La Covid-19 à l’épreuve des faits: quel est donc l’impact économique attendu au Cameroun? Une approche par la Modélisation VAR

Among the aim expected of a statiscal Model is the one to be suitable for the choice on the set of Reproductible results. One of this kind of statistical Model is the Bayesian encompassing test. This kind of statistical Model resurges at the head with the need to achieve the assessment required by the Worldwide central State on the Covid-19’s economic impact. In fact, considering that the central State have adopted measures to emulate Supply as well as demand, with this interest to be sharp oriented in each case, because Supply emulation has be make until the improvement of the public health service and those of demand also be made such that the most vulnerable to the crisis can be protected, facts that raised therefore the ultimate goal to know the most approved between these two lines of emulation measures on the economic activity in this context concerned by the worldwide Outbreak, called Covid-19. Thus is not relevant to consider that we are in the case of two comparative Models? In other terms, what Model is the most suitable to achieve this assessment, the one that concerns Supply or the one that concerns demand? In other words, are the Supply emulation measures equivalent to that of demand? In all cases, these are the main questions that we try to answer, here. Globally speaking, considering the feasibility of statistical Models designed for discrimination, we thus achieve this goal considering the amounts of comments made by the civil society mainly on the economic analysis of Covid-19’s impact in Cameroon.