The Influence of Population Growth, GDP, and Labor Force on Unemployment in Afghanistan
Keywords:
GDP, gross domestic product, labor force, multiple regression Analysis, Population growth, UnemploymentAbstract
This study is conducted to study the influence of macroeconomic variables (population growth, gross domestic product, and labor force) on the unemployment rate in Afghanistan. Since unemployment is one of the most important phenomena and a major socio-economic challenge that has wide implications for national development, it is therefore necessary to study it. In this quantitative study, secondary data has been collected from the years 1991 to 2022. The data for the mentioned years has been obtained from the World Bank WDI database. The SPSS statistical tool is used to analyze the data through multiple regression analysis, and it is clear that the results of t-statistics are significant, the sig-value is also significant at the 5% level, and population growth, GDP, and labor force have a significant impact on reducing unemployment in Afghanistan. The F test is also significant at the 5% level, so the used model is the best fit for analysis. The result indicated statistically that the significant effects of population growth, gross domestic product, and the labor force on the unemployment rate in Afghanistan. The findings also suggested that all the selected variables have a significant relationship with the unemployment rate in Afghanistan for the period 1991–2022.
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