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The purpose of this paper is to decompose income inequality across various household income components and to estimate the marginal effects of changes in each of the income components on overall income inequality in Ghana.

Data were collected from the fifth and sixth rounds of the Ghana Living Standards Surveys. Gini coefficient was estimated and decomposed across structured income components. The marginal effects were obtained by computing the partial derivatives of the Gini coefficient with respect to a percentage change in a particular income source.

The results suggest that, in general, income inequality has increased marginally over the years (Gini coefficient of 0.66 in 2013 and 0.62 in 2006). Inequality was, however, higher in urban areas than in rural areas in 2013 with the reverse observed in 2006. The income component decomposition analysis suggests that wage employment income dominated household income in both rural and urban areas, even though the magnitude was higher in urban areas. Farm income was only dominant in rural communities in 2006. Self-employment and remittance income had consistent inequality reducing effects on total household income distribution.

The study goes beyond inequality studies in Ghana to estimate the marginal effect of income components on inequality. Such decomposition will allow for effective policy targeting in a resource-constrained developing country like Ghana.

Understanding the linkages between poverty and inequality is vital to any sustainable development and poverty reduction strategies. In Ghana, while poverty has reduced significantly over the years, inequality has increased. The purpose of this paper is to examine the linkages between inequality in household expenditure components and overall inequality and poverty in Ghana.

Using microdata from the sixth round of the Ghana Living Standards Survey (GLSS 6) conducted in 2012/2013, marginal effects and elasticities were computed for both within- and between-component analysis.

The results suggest that, in general, reducing within-component inequality significantly reduces overall poverty and inequality in Ghana, compared with between-component inequality. Specifically, inequality in education and health expenditure components were the largest contributors to overall poverty and inequality. The findings imply that policies directed toward reducing within-component inequality will be more effective. Specifically, the findings of the study corroborate recent policies on education and health in Ghana aimed at inequality within these components. Sustaining and scaling up these policies will be a step in the right direction.

The study contributes to existing studies in several ways: first, this study becomes the first attempt to examine inequality-poverty nexus using household expenditure components in Ghana. Second, the use of expenditure in place of income is an addition to the literature. Income is usually subject to reporting biases and is minimal in expenditure. Finally, the findings highlight the need for poverty reduction strategies to focus on specific household components including education and health. Blanket interventions may not be effective in reducing inequality and poverty.