Maternal genetic risk for depression and child human capital
Andrew E. Clark, Conchita D'Ambrosio, Simone Ghislandi, Anthony Lepinteur and Giorgia Menta
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.
1 January 2023
Journal of Health Economics 872023
DOI: 10.1016/j.jhealeco.2022.102718
https://www.sciencedirect.com/science/article/pii/S0167629622001321
This Journal article is published under the centre's Labour programme, Community Wellbeing programme.