Maternal genetic risk for depression and child human capital.


Journal

Journal of health economics
ISSN: 1879-1646
Titre abrégé: J Health Econ
Pays: Netherlands
ID NLM: 8410622

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 09 03 2022
revised: 09 12 2022
accepted: 09 12 2022
pubmed: 25 12 2022
medline: 25 1 2023
entrez: 24 12 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36565586
pii: S0167-6296(22)00132-1
doi: 10.1016/j.jhealeco.2022.102718
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102718

Subventions

Organisme : Medical Research Council
ID : G9815508
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_15018
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19009
Pays : United Kingdom

Informations de copyright

Copyright © 2022. Published by Elsevier B.V.

Auteurs

Giorgia Menta (G)

Luxembourg Institute of Socio-Economic Research (LISER), Luxembourg.

Anthony Lepinteur (A)

University of Luxembourg, Luxembourg. Electronic address: anthony.lepinteur@uni.lu.

Andrew E Clark (AE)

University of Luxembourg, Luxembourg; Paris School of Economics - CNRS, France.

Simone Ghislandi (S)

Bocconi University, Italy.

Conchita D'Ambrosio (C)

University of Luxembourg, Luxembourg.

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