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Cited by 159

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Does children's education matter for parents’ health and cognition? Evidence from China

Ma, Mingming·2019·Journal of Health Economics

Abstract

Intergenerational transmission of human capital from parents to offspring is widely documented. However, whether there are upward spillovers from children to parents remains understudied. This paper uses data from the China Health and Retirement Longitudinal Study to estimate the causal impact of educational attainment of children on various health and cognition outcomes of older parents. Identification is achieved by using the exposure of children to the compulsory education law in China and its interaction with local schooling level before law enforcement as instruments for children's years of schooling. IV estimation results demonstrate that increasing years of education of children lead to better cognitive functions, higher survival expectations and improved lung function of Chinese older parents. Further evidence suggests that children's education might shape health of older parents by providing financial support, affecting the access to resources and influencing the labor supply and psychological well-being of parents.

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Metadata

Authors
Ma, M.
Venue
Journal of Health Economics
Publisher
Elsevier BV
Published
2019-07
Volume
66
Pages
222-240
ISSN
0167-6296 (ISSN-L)
OpenAlex
W2949287177
Cited by
159
References
13
FWCI
27.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Does children's education matter for parents’ health and cognition? Evidence from China. https://app.cochat.ai/papers/10.1016/j.jhealeco.2019.06.004
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Ma, M. (2019). Does children's education matter for parents’ health and cognition? Evidence from China. Journal of Health Economics. https://doi.org/10.1016/j.jhealeco.2019.06.004

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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.