Effect of Temperature and Weather Shocks on Health at Birth: Evidence from the US
Type
conference paper
Date Issued
2023-10-09
Author(s)
Abstract
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.
Keywords
C21
I14
Q54 Climate Change
Extreme Weather
Health at Birth
Causal Machine Learning
Heterogeneity
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open.access
Name
Kutz_temperatureUS.pdf
Size
3.58 MB
Format
Adobe PDF
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