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Background <p>Health expenditure is influenced by complex interactions between economic, demographic, social factors, with significant variations across countries. This study aims to investigate the determinants of health expenditures employing robust regression methods offering a more flexible and reliable approach to dealing with outliers and high data variation.</p> Methods <p>This study employs robust regression methods, Weighted Least Squares (WLS) and MM-estimator regression, to examine the determinants of health expenditures. The analyses were conducted using data from 179 countries for the year 2021 with the R Studio.</p> Results <p>The findings indicate that income and ageing are significant determinants of health expenditures, and sixteen outliers were identified. In contrast, education level, public health expenditure, disease patterns showed no significant effect.</p> Conclusion <p>This study fills gap in the literature by using robust regression methods to account for outliers and provides new insights into the role of economic and demographic factors in health expenditures.</p>

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Economic and demographic influences on health expenditures: robust approaches for income and aging effects

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月6日

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  • Canser Boz,
  • Fatma Sevinç Kurnaz

摘要

Background

Health expenditure is influenced by complex interactions between economic, demographic, social factors, with significant variations across countries. This study aims to investigate the determinants of health expenditures employing robust regression methods offering a more flexible and reliable approach to dealing with outliers and high data variation.

Methods

This study employs robust regression methods, Weighted Least Squares (WLS) and MM-estimator regression, to examine the determinants of health expenditures. The analyses were conducted using data from 179 countries for the year 2021 with the R Studio.

Results

The findings indicate that income and ageing are significant determinants of health expenditures, and sixteen outliers were identified. In contrast, education level, public health expenditure, disease patterns showed no significant effect.

Conclusion

This study fills gap in the literature by using robust regression methods to account for outliers and provides new insights into the role of economic and demographic factors in health expenditures.