Francis Menjo Baye¹, Boniface Ngah Epo^1,, Simon Alain Song Ntamack¹

We undertake a spatial and inter-temporal decomposition of the S-Gini inequality index using the Shapley Value-based approach, and both money-metric and child health indicators collected by the government’s statistics office in 1996 and 2001. Changes in income inequalities are driven largely by changes in between-zone inequalities; for child health, the within-zone component remains more important. Results point to the wisdom of considering the redistribution of health facilities and services within-zones rather than across if the intention is to cost-effectively reduce overall health inequalities. In the monetary space, an optimal-mix of within- and between-zone distributive measures is important in addressing inequality.

Gini decomposition, Shapley value, income, child health and Cameroon