DATASET FOR INCOME INEQUALITY AND HEALTH IN SSA

It is made up of ten variables which comprises of two alternate dependent variables, six explanatory variables, and two sets of dummy variables. The study examined the impact of income inequality in 29 SSA countries over the period 1996 to 2015, and also examined possible differences in impact of income inequality between countries richly endowed with natural resources and those that are not.

Findings from the study show that income inequality does not have significant impact on health therefore does not significantly explain changes in health in SSA. Instead, quality of the environment, education, health expenditure as well as global factors are variables that significantly explain changes in health in SSA.