Reference : Maternal genetic risk for depression and child human capital
Scientific journals : Article
Business & economic sciences : Special economic topics (health, labor, transportation…)
http://hdl.handle.net/10993/53617
Maternal genetic risk for depression and child human capital
English
Menta, Giorgia mailto [Luxembourg Institute of Socio-Economic Research (LISER), Luxembourg]
Lepinteur, Anthony mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) >]
Clark, Andrew mailto [Paris School of Economics - CNRS, France and University of Luxembourg]
Ghislandi, Simone mailto [Bocconi University, Italy]
d'Ambrosio, Conchita mailto [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) >]
2023
Journal of Health Economics
Elsevier
87
102718
Yes
International
0167-6296
1879-1646
Amsterdam
Netherlands
[en] Maternal depression ; Human capital ; ALSPAC
[en] We here address the causal relationship between the maternal genetic risk for depression and child human capital using UK birth-cohort data. We find that an increase of one standard deviation (SD) in the maternal polygenic risk score for depression reduces their children’s cognitive and non-cognitive skill scores by 5 to 7% of a SD throughout adolescence. Our results are robust to a battery of sensitivity tests addressing, among others, concerns about pleiotropy and dynastic effects. Our Gelbach decomposition analysis suggests that the strongest mediator is genetic nurture (through maternal depression itself), with genetic inheritance playing only a marginal role.
http://hdl.handle.net/10993/53617

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