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POOLED DATA AS APPLIED TO MEASURE THE EFFECT OF HUMAN DEVELOPMENT INDEX ON GROSS DOMESTIC PRODUCT GROWTH IN SUB-SAHARAN AFRICA REGION (2000-2023)

Abdalla Ahmed Alkhalifa Abdalla & Mohieldin Ali Mohieldin Elhassan

Advances and Applications in Statistics2026https://doi.org/10.17654/0972361726008article
ABDC C
Weight
0.50

What the paper says

This research examines the impact of the human development index (HDI) on gross domestic product (GDP) growth in Sub-Saharan Africa. Nigeria, Kenya and Ethiopia were selected as case studies due to their economic importance and diverse development patterns within the region. Combined data models were used, with the traditional combined model being the optimal choice. The study reveals a weak positive correlation between the HDI and GDP growth, not exceeding 30%. This indicates that the HDI contributes very little to the region’s GDP growth, suggesting inadequate spending on education, health, and improving living standards in these countries. Kenya is among the best-performing countries in terms of spending. Therefore, the study recommends increasing spending on health and education and raising living standards to improve the HDI and, consequently, GDP growth.

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https://doi.org/https://doi.org/10.17654/0972361726008

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@article{abdalla2026,
  title        = {{POOLED DATA AS APPLIED TO MEASURE THE EFFECT OF HUMAN DEVELOPMENT INDEX ON GROSS DOMESTIC PRODUCT GROWTH IN SUB-SAHARAN AFRICA REGION (2000-2023)}},
  author       = {Abdalla Ahmed Alkhalifa Abdalla & Mohieldin Ali Mohieldin Elhassan},
  journal      = {Advances and Applications in Statistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.17654/0972361726008},
}

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POOLED DATA AS APPLIED TO MEASURE THE EFFECT OF HUMAN DEVELOPMENT INDEX ON GROSS DOMESTIC PRODUCT GROWTH IN SUB-SAHARAN AFRICA REGION (2000-2023)

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.