The Relationship between HIV Infection Rates and GDP Per Capita in African Countries
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This paper examines the relationship between GDP per capita and HIV prevalence in African countries. Our hypothesis is that as HIV infections increase within a nation, its GDP per capita will decrease due to the disease’s harm to human capital. First, we created a simple regression model using data of 2005 GDP per capita along with number of adults and children living with HIV as the independent variable. After resulting in a negative but weak correlation, we further alter this model by adding multiple independent variables including HIV/AIDS deaths, arable land per capita, labor force, Foreign Direct Investment (FDI) percentage, life expectancy, exports, imports, and people living with HIV. By using multiple regression, our results indicate that both the number of people living with HIV and HIV related deaths in a country negatively affects its economy.