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Cited by 342

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Weathering the storm: Hurricanes and birth outcomes

Open access
Currie, Janet, Rossin-Slater, Maya·2013·Journal of Health Economics

Abstract

A growing literature suggests that stressful events in pregnancy can have negative effects on birth outcomes. Some of the estimates in this literature may be affected by small samples, omitted variables, endogenous mobility in response to disasters, and errors in the measurement of gestation, as well as by a mechanical correlation between longer gestation and the probability of having been exposed. We use millions of individual birth records to examine the effects of exposure to hurricanes during pregnancy, and the sensitivity of the estimates to these econometric problems. We find that exposure to a hurricane during pregnancy increases the probability of abnormal conditions of the newborn such as being on a ventilator more than 30 minutes and meconium aspiration syndrome (MAS). Although we are able to reproduce previous estimates of effects on birth weight and gestation, our results suggest that measured effects of stressful events on these outcomes are sensitive to specification and it is preferable to use more sensitive indicators of newborn health.

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Crossref · 10.1016/j.jhealeco.2013.01.004

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Metadata

Authors
Currie, J., & Rossin-Slater, M.
Venue
Journal of Health Economics
Publisher
Elsevier BV
Published
2013-05
Volume
32
Issue
3
Pages
487-503
ISSN
0167-6296 (ISSN-L)
OpenAlex
W2035172056
Cited by
342
References
5
FWCI
37.05
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Weathering the storm: Hurricanes and birth outcomes. https://app.cochat.ai/papers/10.1016/j.jhealeco.2013.01.004
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Currie, J., & Rossin-Slater, M. (2013). Weathering the storm: Hurricanes and birth outcomes. Journal of Health Economics. https://doi.org/10.1016/j.jhealeco.2013.01.004

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.