Explaining Wellbeing and Inequality in Cameroon: A Regression-Based Decomposition

This study sets out to estimate the determinants of household economic wellbeing and to evaluate the relative contributions of regressed-income sources in explaining measured inequality. In particular, a regression-based decomposition approach informed by the Shapley value, the instrumental variables econometric method, and the 2007 Cameroon household consumption survey, was used. This approach provides a flexible way to accommodate variables in a multivariate context. The results indicate that the household stock of education, age, credit, being bilingual, radio and electricity influence wellbeing positively, while rural, land and dependency had a negative impact on wellbeing. Results also show that rural, credit, bilingualism, education, age, dependency and land, in that order, are the main contributors to measured income inequality, meanwhile, the constant term, media and electricity are inequality reducing. These findings have policy implications for the ongoing drive to scale down both inequaly and poverty in Cameroon