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Analysis of the Impact of Education on Poverty in Cameroon: An Application of the Nested Logit Model

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Analysis of the Impact of Education on Poverty in Cameroon: An Application of the Nested Logit Model

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Abstract

This paper re-examine the relationship between human capital and poverty. Using data from the Third National Household Survey in Cameroon (ECAM 3), and a nested logit model, this study shows that education alleviates poverty of people living close to the poverty line in Cameroon. Conversely, when the poor fall far below the poverty line the cost associated with education acquisition process tends to have a negative impact on their abilities to meet their basic needs for households in Cameroon. These results suggest that financially support the education of the poorest will lift them out of poverty.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ngah Otabela Nadege, Patrick Marie NGA NDJOBO. 2020. "Analysis of the Impact of Education on Poverty in Cameroon: An Application of the Nested Logit Model". Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 20 (GJMBR Volume 20 Issue B6).

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Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Keywords
Classification
GJMBR-B Classification JEL Code: O10
Version of record
v1.2

Issue date
May 30, 2020

Language
English
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Analysis of the Impact of Education on Poverty in Cameroon: An Application of the Nested Logit Model

Ngah Nadege
Ngah Nadege Université de Maroua-Cameroun
Patrick NDJOBO
Patrick NDJOBO