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Role of Multiple Regression in Predicting Economic Growth: A Panel Study of Kenya (2020?2025)
Subject area: Management and Commerce · Area of research: Economics
Abstract
The study provides multiple regression analysis of the economic growth determinants in Kenya using panel data observations between 2020 and 2025. Through the aspect of investment, government spending, inflation, openness to trade, and human capital, it examines how such macroeconomic factors affect the growth of Gross Domestic Product (GDP). This system of analysis is done through a panel-data modus and is complemented with case studies at county level in Nairobi, Mombasa, and Kisumu to provide regional dispensations. The findings explain that investment and trade openness are positively critical when it comes to GDP growth, but the inflation has a negative impact. These data emphasize the significance of selective investment, better so-called facilitation of trade, and a consciously motivated human capital build-up as means of advancing growth on a sustainable and inclusive basis.
References
[1] R. J. Barro (1991). Cross sectional growth of countries’ economies. The Quarterly Journal of Economics 106(2): 407443, 2011. DOI: 10.2307/2937943
[2] Chege, C. W., and Nyambura, M. (2020). Investing in infrastructure and intensifying economic development in Kenya: A county sz case. African Development Studies, 12(1), 55 70.
[3] Gujarati, D. N. & Porter, D. C. (2009). Introduction to basic econometrics (5th ed.).
[4] McGraw-Hill/Irwin. Levine, R., Renelt D. (1992). It is a sensitivity analysis of cross-country growth regressions. The American Economic Review, 82 ( 4 ) 942-963.
[5] Were, M., and Tiriongo, S. (2012). The role of central bank in ensuring price stability and growth of economy. Kenya Bankers Economic Bulletin, 4(1), 6 12.
How to cite this paper
@article{1709930,
author = {Samuel Omondi Otieno, Dr. Yasin Ghabon},
title = {Role of Multiple Regression in Predicting Economic Growth: A Panel Study of Kenya (2020?2025)},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {1},
pages = {1550-1552},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709930.pdf},
abstract = {The study provides multiple regression analysis of the economic growth determinants in Kenya using panel data observations between 2020 and 2025. Through the aspect of investment, government spending, inflation, openness to trade, and human capital, it examines how such macroeconomic factors affect the growth of Gross Domestic Product (GDP). This system of analysis is done through a panel-data modus and is complemented with case studies at county level in Nairobi, Mombasa, and Kisumu to provide regional dispensations. The findings explain that investment and trade openness are positively critical when it comes to GDP growth, but the inflation has a negative impact. These data emphasize the significance of selective investment, better so-called facilitation of trade, and a consciously motivated human capital build-up as means of advancing growth on a sustainable and inclusive basis.},
month = {July},
}