Modeling and Forecasting Economic Growth in Sub-Saharan Africa in the Post-Covid Era

Germinal Van ()

MPRA Paper from University Library of Munich, Germany

Abstract: The coronavirus has deleteriously affected a great majority of countries in the world. Developed societies such as the United States and the majority of Western countries have had the highest rates of mortality because of the pandemic. Sub-Saharan Africa, on the other hand, has been the continent where the pandemic has not done excessive damages. Africa’s GDP growth did not significantly decrease compared with the other continents. Consequently, the purpose of this paper is to model and forecast economic growth in sub-Saharan Africa in the post-COVID era and to examine the factors that are part of the growth process of the continent. To appropriately develop an econometric model of the economic growth of Sub-Saharan Africa in the post-COVID era, we decided to use the time-series data. This time-series data will be the dataset used to develop the statistical model that will enable us to forecast the economic growth of the continent in the post-COVID era.

Keywords: Econometrics; Macroeconomics; Mathematical Modeling; Time-Series Analysis; Autoregressive Model; Statistical Modeling (search for similar items in EconPapers)
JEL-codes: C01 C02 C15 C22 C53 O11 (search for similar items in EconPapers)
Date: 2020-09-27
New Economics Papers: this item is included in nep-for, nep-gro, nep-isf and nep-ore
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:103153

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