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Cited by 397

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Chernobyl's Subclinical Legacy: Prenatal Exposure to Radioactive Fallout and School Outcomes in Sweden*

Almond, Douglas, Edlund, Lena, Palme, Mårten·2009·Quarterly Journal of Economics

Abstract

We use prenatal exposure to Chernobyl fallout in Sweden as a natural experiment inducing variation in cognitive ability. Students born in regions of Sweden with higher fallout performed worse in secondary school, in mathematics in particular. Damage is accentuated within families (i.e., siblings comparison) and among children born to parents with low education. In contrast, we detect no corresponding damage to health outcomes. To the extent that parents responded to the cognitive endowment, we infer that parental investments reinforced the initial Chernobyl damage. From a public health perspective, our findings suggest that cognitive ability is compromised at radiation doses currently considered harmless.

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Crossref · 10.1162/qjec.2009.124.4.1729

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Metadata

Authors
Almond, D., Edlund, L., & Palme, M.
Venue
Quarterly Journal of Economics
Published
2009-11
Volume
124
Issue
4
Pages
1729-1772
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
OpenAlex
W1986925040
Cited by
397
References
3
FWCI
13.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Chernobyl's Subclinical Legacy: Prenatal Exposure to Radioactive Fallout and School Outcomes in Sweden*. https://app.cochat.ai/papers/10.1162/qjec.2009.124.4.1729
The paper
Almond, D., Edlund, L., & Palme, M. (2009). Chernobyl's Subclinical Legacy: Prenatal Exposure to Radioactive Fallout and School Outcomes in Sweden*. Quarterly Journal of Economics. https://doi.org/10.1162/qjec.2009.124.4.1729

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.