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Cited by 659

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Like Father, like Son; Like Mother, like Daughter: Parental Resources and Child Height

Thomas, Duncan·1994·The Journal of Human Resources

Abstract

Through use of child height as a proxy for general child health and nutritional status the hypothesis that there are gender differences in the allocation of household resources to child health was examined. Data were derived from household surveys conducted in the US Brazil and Ghana that included information on both child anthropometry and family socioeconomic attributes. In all three countries mothers were found to allocate more resources to daughters while fathers channelled resources toward sons. Maternal education was found to have a larger effect on the height of daughters than sons while sons benefit more than daughters as paternal education increases. In Brazil womens non-labor income was used to improve the health of daughters but not sons. In Ghana the education of a woman whose educational attainment surpasses that of her husband had a larger impact on the height of her daughter than that of her son. If relative education of parents and non-labor income are indicators of power in household allocation decisions these findings suggest that gender differentials in resource allocation reflect both technological differences in child rearing and gender-based differences in parental preferences.

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Metadata

Authors
Thomas, D.
Venue
The Journal of Human Resources
Publisher
JSTOR
Published
1994
Volume
29
Issue
4
Pages
950
ISSN
0022-166X (ISSN-L)
OpenAlex
W1854517222
Cited by
659
References
0
FWCI
17.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Like Father, like Son; Like Mother, like Daughter: Parental Resources and Child Height. https://app.cochat.ai/papers/10.2307/146131
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Thomas, D. (1994). Like Father, like Son; Like Mother, like Daughter: Parental Resources and Child Height. The Journal of Human Resources. https://doi.org/10.2307/146131

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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.