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

dc.contributor.authorArrey, Marinus Arrey
dc.date.accessioned2020-04-27T09:44:06Z
dc.date.available2020-04-27T09:44:06Z
dc.date.issued2020-04-27
dc.description.abstractThis 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 inequality and poverty in Cameroonen_US
dc.description.sponsorshipAfrican Economic Research Consortiumen_US
dc.identifier.urihttps://publication.aercafricalibrary.org/handle/123456789/523
dc.publisherAERCen_US
dc.relation.ispartofseriesResearch Paper 378;RESEARCH PAPER 378
dc.subjectRegression-based decomposition,en_US
dc.subjectInequality,en_US
dc.subjectHousehold Economic wellbeing,en_US
dc.subjectCameroonen_US
dc.titleExplaining Wellbeing and Inequality in Cameroon: A Regression-Based Decompositionen_US
dc.typeThesisen_US
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