The primary aim of this study was to investigate the impact of population growth on unemployment in Somalia. Specific objectives included examining the effects of population growth, gross domestic product, and inflation on unemployment. The research adopted an empirical research design to establish empirical connections between these variables and the unemployment rate in Somalia. The Ordinary Least Squares (OLS) technique was used to calculate numerical estimates of coefficients in the econometric equation, as it is known for its simplicity and possession of the Best Linear Unbiased Estimator (BLUE) properties. The conduct the research, annual time-series data from the World Bank database and International Monetary Fund for the period 1985-2019 were utilized. The relationships between the independent variables (population growth, gross domestic product, and inflation) and the dependent variable (unemployment) were established using Ordinary Least-Squares (OLS) regression. The economic software EVIEWS was employed to estimate the values of the impact of population growth on unemployment. The findings of the study indicated that the inflation coefficient suggested that a $1 increase in inflation led to a 53% increase in unemployment. Additionally, all other variables showed a positive relationship with unemployment. Thus, the null hypothesis was accepted, signifying that inflation has a significant influence on unemployment.
Alin, M., & Said, M. (2018). Population growth and youth unemployment In Somalia (1991-2017). Kampala International University.
Bennett, O. (2019). Cultural pessimism: Narratives of decline in the postmodern world. Edinburgh University Press.
Fomba Kamga, B., Talla Fokam, D. N. D., & Ningaye, P. (2022). Political instability and youths unemployment in sub?Saharan Africa. Review of Development Economics, 26(3), 1850–1879.
Group, W. B. (2018). Democratic Republic of Congo Systematic Country Diagnostic: Policy Priorities for Poverty Reduction and Shared Prosperity in a Post-Conflict Country and Fragile State. World Bank.
Hong, J.-W., Hong, J., Kwon, E. E., & Yoon, D. (2019). Temporal dynamics of urban heat island correlated with the socio-economic development over the past half-century in Seoul, Korea. Environmental Pollution, 254, 112934.
Leeson, G. W. (2018). The growth, ageing and urbanisation of our world. Journal of Population Ageing, 11, 107–115.
Sahoo, M., & Sahoo, J. (2019). The relationship between unemployment and some macroeconomic variables: Empirical evidence from India. Theoretical & Applied Economics, 26(1).
Sovacool, B. K., Axsen, J., & Sorrell, S. (2018). Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design. Energy Research & Social Science, 45, 12–42.
Wirtz, A. L., Perrin, N. A., Desgroppes, A., Phipps, V., Abdi, A. A., Ross, B., Kaburu, F., Kajue, I., Kutto, E., & Taniguchi, E. (2018). Lifetime prevalence, correlates and health consequences of gender-based violence victimisation and perpetration among men and women in Somalia. BMJ Global Health, 3(4), e000773.
Woetzel, J., Madgavkar, A., Seong, J., Manyika, J., & Sneader, K. (2018). Outperformers: High-growth emerging economies and the companies that propel them.
