Air Pollution and Children’s Health Inequalities

Milena Suarez Castillo, David Benatia, Christine Le Thi, Vianney Costemalle
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Abstract

This paper examines the differential impacts of early childhood exposure to air pollution on children’s health care use across parental income groups and vulnerability factors using French administrative data. Our quasi-experimental study reveals significant impacts on emergency admissions and respiratory medication in young children, attributed to air pollution shocks from thermal inversions. Using causal machine learning, we identify these health impacts as predominantly affecting 10% of infants, characterized by poor health indicators at birth and lower parental income. Our results suggest that intervention strategies focusing on vulnerability metrics may be more effective than those based solely on exposure levels.
空气污染与儿童健康不平等
本文利用法国的行政数据,研究了儿童早期暴露于空气污染对不同父母收入群体和脆弱性因素的儿童使用医疗服务的不同影响。我们的准实验研究揭示了热反转造成的空气污染冲击对幼儿急诊入院和呼吸道用药的显著影响。利用因果机器学习,我们确定这些健康影响主要影响 10%的婴儿,这些婴儿的特点是出生时健康指标较差和父母收入较低。我们的研究结果表明,以脆弱性指标为重点的干预策略可能比单纯基于暴露水平的干预策略更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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