Determinants of Multidimensional Poverty in Nigeria: Using Ols Regression

Abstract

The study investigated the determinants of poverty in Nigeria using annual time for twenty-six years (2000-2025). The study sought to specifically evaluate the impact of corruption, unemployment, economic instability, and population growth rate on poverty in Nigeria. Secondary data were collated from the CBN statistical bulletin and the World Bank indicator for the period used in the study. Employing the ordinary least square (OLS) regression technique and ex-post facto research design for the statistical computations. The findings of the correlation test carried out, discovered that the all the selected determinants (corruption, unemployment, economic instability and population growth) have a significant positive correlation on poverty levels in Nigeria. The findings indicated the other factors not included in the model might also influence poverty. The OLS regression model employed in this study shows that the regression model concludes that corruption, economic instability, unemployment rate and population growth rate are positively associated with poverty level. Based on the finding of the study, it was concluded that efforts should be made to reduce corruption and manage population growth rates to curb poverty levels. This could be-achieved through implementing strict anti-corruption measures and promoting good governance practices.