Determinants of Poverty in the Northern Region of Ghana
DOI:
https://doi.org/10.53555/ms.v4i1.226Abstract
This paper investigates the correlates of poverty in the Northern Region of Ghana. The study used data from the sixth round of the Ghana Living Standard Survey (GLSS6) made up of 1702 households representing 10% of the data for the Region in the 26 districts. In order to identify the poor households, a poverty line of HS1,314.00 was used and those households whose per capita consumption fell below it were considered as being poor otherwise non-poor. Ordinary least Squares (OLS) regression was used to estimate the correlates of poverty. Ordered probit regression was used to check the robustness of the model. The results revealed that household size, gender of head of household, marital status of head of household, educational level of head of household, walls, floor and roof of the dwelling are significant determinants of poverty. The model diagnostics indicate that the model fits the data well. The robustness check showed that the model is robust to other empirical models. It is recommended that any program or policy that is geared towards poverty reduction in the region should be district and household specific as the factors that affect poverty in the region are not unique across the region.
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