Van, Germinal G. (2020): Modeling and Forecasting Economic Growth in Sub-Saharan Africa in the Post-Covid Era.
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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.
Item Type: | MPRA Paper |
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Original Title: | Modeling and Forecasting Economic Growth in Sub-Saharan Africa in the Post-Covid Era |
English Title: | Modeling and Forecasting Economic Growth in Sub-Saharan Africa in the Post-Covid Era. |
Language: | English |
Keywords: | Econometrics, Macroeconomics, Mathematical Modeling, Time-Series Analysis, Autoregressive Model, Statistical Modeling |
Subjects: | C - Mathematical and Quantitative Methods > C0 - General > C01 - Econometrics C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O11 - Macroeconomic Analyses of Economic Development |
Item ID: | 103153 |
Depositing User: | Mr. Germinal Van |
Date Deposited: | 01 Oct 2020 10:10 |
Last Modified: | 01 Oct 2020 10:10 |
References: | 1.“Unprecedented Falls in GDP in most G20 economies in the second quarter of 2020.” G20 GDP Growth Quarterly National Accounts.OECD. (2020). pp-1-4. Paris. 2.Ibid. p.1 3.“COVID-19 in Africa: Regional Socioeconomic Implications and Policy Priorities.” OECD. (2020). pp.1-22. Paris. 4.Ibid. p. 1 5.Ibid. p. 2 6.Ibid. p. 2 7.Ibid. p. 2 8.Ibid. p. 2 9.Ibid. p. 2 10.Ibid. p. 2 11.Ibid. p. 3 12.Horvath, Zsuzsanna, Johnston, Ryan. AR (1) Time-Series Process Econometrics 7590. p. 3. 13.Arndt, Channing; Davies, Rob; Gabriel, Sherwin; Harris, Laurence; Makrelov, Konstantin; Modise, Boipuso; Robinson, Sherman; Simbanegavi, Witness; Seventer, Dirk van; Anderson, Lillian. “Impact of COVID-19 on the South African Economy: An Initial Analysis.” Southern Africa – Towards Inclusive Economic Development in Southern Africa. Working Paper 111. (2020). pp.1-37. 14.Ibid. p. 2 15.Ibid. p. 2 16.Ibid. p. 5 17.Ibid. p. 5 18.Ibid. p. 5 19.Ibid. p. 5 20.Ibid. p. 5 21.Viljoen, Willemien, “South Africa’s April 2020 trade statistics—reduced exports lead to a significant trade deficit.” Tralac. (2020). 22.Tarlac, Ibid. 23.Easen, Nick. “Africa: Lack of Infrastructure Leaves Millions in Poverty Despite Potential.” Raconteur. (2018). 24.Raconteur, Ibid. 25.Raconteur, Ibid. 26.Raconteur, Ibid. 27.Editors, “Education in Africa: The Major Challenges.” AfricaW. (2019). 28.AfricaW, Ibid. 29.AfricaW, Ibid. 30.AfricaW, Ibid. 31.Oleribe, Obinna O; Momoh, Jenny; Uzochukwu, Benjamin SC; Mbofana, Francisco; Adebiyi, Akin; Barbera, Thomas; Williams, Roger; Taylor-Robinson, Simon. “Identifying Key Challenges Facing Healthcare Systems in Africa and Potential Solutions.” International Journal of General Medicine. (2019). Volume 12. pp. 395-403. DOI:10.2147/IJGM.S223882. 32.Ibid. p. 400 33.Ibid. p. 400 34.Ibid. p. 400 35.Ibid. p. 400 36.Ibid. p. 400 37.Ibid. p. 400 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/103153 |