2017
DOI: 10.18488/journal.8.2017.53.274.296
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The Contribution of Employment Vulnerability in Explaining Private Sector Inequality in Cameroon

Abstract: Article HistoryThis paper identified the role of employment vulnerability and other regressed-income sources in accounting for private sector inequality and examined how much inequality in income and vulnerability is accounted for by within-and between-employment sector components in Cameroon. The paper employed two decomposition approaches: a regression-based framework and a Shapley Value-based rule. To attain these objectives, use was made of the 2007 Cameroon household consumption survey conducted by the go… Show more

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Cited by 2 publications
(3 citation statements)
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“…The role of employment vulnerability in explaining private sector inequality in Cameroon was examined by Ndamsa, Njang, and Baye (2017). Both a regression-based framework and a Shapley Value-based rule were used as decomposition techniques in this study.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The role of employment vulnerability in explaining private sector inequality in Cameroon was examined by Ndamsa, Njang, and Baye (2017). Both a regression-based framework and a Shapley Value-based rule were used as decomposition techniques in this study.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, despite these high literacy rates, Folefack (2015) argues that there is a significant education and training gap in the working-age population as an estimated 43% of that population has either no formal education or incomplete primary education, while 67% has received no additional training at all after their elementary education. Unemployment is therefore significantly higher among Cameroonian youth as compared to older demographics across all levels and types of education, pointing to persistent education and training gaps (Ndamsa, et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, the country‖s rural population accounted for some 80% of the total population in 1970 as against 20% for the urban population (Folefack 2015). Today however, these trends have been drastically reversed as the rural residents make up 44% of the population while the urban population accounts for 56% (Ndamsa, Njang & Baye, 2017).…”
Section: Introductionmentioning
confidence: 99%