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Cited by 181

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Gray Matters: Fetal Pollution Exposure and Human Capital Formation

Bharadwaj, Prashant, Gibson, Matthew, Zivin, Joshua Graff, Neilson, Christopher·2017·Journal of the Association of Environmental and Resource Economists

Abstract

This paper examines the impact of fetal exposure to air pollution on fourth-grade test scores in Santiago, Chile. We rely on comparisons across siblings which address concerns about locational sorting (for nonmovers) and all other time-invariant family characteristics that can lead to endogenous exposure to poor environmental quality. We also exploit data on air quality alerts to help address concerns related to short-run time-varying avoidance behavior, which has been shown to be important in a number of other contexts. We find a strong negative effect from fetal exposure to carbon monoxide (CO) and correlated pollutants (like PM10) on math and language skills measured in fourth grade. These effects are economically significant, and our back-of-the-envelope calculations suggest that the 50% reduction in CO in Santiago between 1990 and 2005 increased lifetime earnings by approximately US$100 million per birth cohort.

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Crossref · 10.1086/691591

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Metadata

Authors
Bharadwaj, P., Gibson, M., Zivin, J. G., & Neilson, C.
Venue
Journal of the Association of Environmental and Resource Economists
Published
2017-06
Volume
4
Issue
2
Pages
505-542
ISSN
  • 2333-5955 (ISSN-L)
  • 2333-5963
OpenAlex
W2135196449
Cited by
181
References
7
FWCI
8.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Gray Matters: Fetal Pollution Exposure and Human Capital Formation. https://app.cochat.ai/papers/10.1086/691591
The paper
Bharadwaj, P., Gibson, M., Zivin, J. G., & Neilson, C. (2017). Gray Matters: Fetal Pollution Exposure and Human Capital Formation. Journal of the Association of Environmental and Resource Economists. https://doi.org/10.1086/691591

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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.