Longitudinal analysis of the determinants of life expectancy and healthy life expectancy: A causal approach
نویسندگان
چکیده
Understanding the determinants of health is essential for designing effective strategies to advance economic growth, reduce disease and disability, enhance quality life. We undertake a comprehensive outlook on public by incorporating three metrics — life expectancy (LE), healthy (HLE), discrepancy between two. investigate effects various socio-economic factors these employ causal machine learning statistical methods such as propensity score matching, X-learners, forests calculate treatment effects. An increase in basic water services expenditure significantly increased average LE whereas high human immunodeficiency virus (HIV) prevalence rates poverty reduced LE. High gross national income (GNI) per capita moderate body mass index (BMI) HLE whilst HIV decreased HLE. GNI expand gap BMI diminish this gap. Results suggest that policymakers should utilize governmental resources improve infrastructure rather than provide fiscal incentives encourage private healthcare infrastructure. Additionally, more emphasis be placed increasing educational levels general making institutions, private, accountable. • Causal healthcare. Private expenditure, not affects expectancy. health.
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با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند
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ژورنال
عنوان ژورنال: Healthcare analytics
سال: 2022
ISSN: ['2772-4425']
DOI: https://doi.org/10.1016/j.health.2022.100028