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    Effect of Temperature and Weather Shocks on Health at Birth: Evidence from the US
    (2023-10-09)
    Understanding in-utero exposure to extreme weather events is key to mitigating climate change's impact on health at birth. Using detailed historic weather records and data on infants born in the US between 1989-2004, we investigate how in-utero exposure to weather events, such as heat and cold waves or rainfall, impacts infant's health at birth. We focus on the effects of heat shocks on birth outcomes and systematically investigate heterogeneity therein using the causal forest, a recently developed causal machine learning technique. Exposure to a heat shock significantly reduces birth weight by around 6 grams on average and increases the small for gestational age (SGA) birth rate. We find substantial heterogeneity in the effect of heat shock exposure on birth weight. Especially infants born to black, Mexican, or low-educated mothers are disproportionately prone to health risks from extreme heat exposure.
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    Uncovering Sources of Heterogeneity in the Effects of Maternal Smoking on Infants’ Health at Birth
    (2024-09-14)
    Smoking during pregnancy poses significant risks to infants’ health at birth, but individual drivers of effect sizes are largely unknown. This study is the first to uncover the heterogeneity in its impact on birth weight and other health measures, using a novel machine learning based effect decomposition. In a large US sample, older maternal age increases smoking’s negative effects, while high pre-pregnancy BMI and excessive weight gain can reduce its impact on birth weight but have mixed effects on other health outcomes. These insights can improve targeted smoking cessation for pregnant women, potentially reducing healthcare costs and enhancing newborn health.
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