A Comparative Analysis on the Impact of Household Size on Economic Prosperity in Developing Countries

This research explores the relationship between household size and economic prosperity in five developing countries: Brazil, India, Nigeria, Ukraine, and Vietnam. Using secondary data from 2010 to 2021, the study employs multiple regression analysis (MRA) to assess the impact of health, education, and income indices on average household size, testing for homoscedasticity, normality, autocorrelation, and multicollinearity. The findings reveal country-specific effects, highlighting the importance of considering socio-economic and cultural differences. Some factors, such as education, may have a strong negative impact on household size in one country, but could have a positive effect on another. Ridge regression is applied to address multicollinearity issues in Nigeria and Vietnam. The research concludes that tailored policy interventions informed by these findings can contribute to more effective development strategies and reduce socio-economic disparities in developing countries.

Authors

Publication Details

Journal
Asian Journal of Probability and Statistics
Published
2025-09-18
DOI
https://doi.org/10.9734/ajpas/2025/v27i9807
Primary Topic
Economic Growth and Development
Type
article
Field-Weighted Citation Impact
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article

A Comparative Analysis on the Impact of Household Size on Economic Prosperity in Developing Countries

Alumbugu Auta Irinews, Ibrahim Adamu, Opara Emmanuel Uchenna
Asian Journal of Probability and Statistics
Economic Growth and Development
article

A Comparative Analysis on the Impact of Household Size on Economic Prosperity in Developing Countries

Alumbugu Auta Irinews, Ibrahim Adamu, Opara Emmanuel Uchenna
article en

Abstract

This research explores the relationship between household size and economic prosperity in five developing countries: Brazil, India, Nigeria, Ukraine, and Vietnam. Using secondary data from 2010 to 2021, the study employs multiple regression analysis (MRA) to assess the impact of health, education, and income indices on average household size, testing for homoscedasticity, normality, autocorrelation, and multicollinearity. The findings reveal country-specific effects, highlighting the importance of considering socio-economic and cultural differences. Some factors, such as education, may have a strong negative impact on household size in one country, but could have a positive effect on another. Ridge regression is applied to address multicollinearity issues in Nigeria and Vietnam. The research concludes that tailored policy interventions informed by these findings can contribute to more effective development strategies and reduce socio-economic disparities in developing countries.

Asian Journal of Probability and StatisticsVol. 27(9)
Openalex Percentile: Top 63%
Economic Growth and Development
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