The Genetic Lottery Goes to School: Better Schools Compensate for the Effects of Students’ Genetic Differences

Rosa Cheesman (), Nicolai T. Borgen (), Astrid Marie Jorde Sandsor () and Paul Hufe ()
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Rosa Cheesman: University of Oslo
Nicolai T. Borgen: University of Oslo
Astrid Marie Jorde Sandsor: University of Oslo
Paul Hufe: University of Bristol

No 17899, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We investigate whether better schools can compensate for the effects of children’s genetic differences. To this end, we combine data from the Norwegian Mother, Father, and Child Cohort Study (MoBa) with Norwegian register data to estimate the interaction between genetic endowments and school quality. We use MoBa’s genetic data to compute polygenic indices for educational attainment (PGIEA). Importantly, MoBa includes information on the genetic endowments of father-mother-child trios, allowing us to identify causal genetic effects using within-family variation. We calculate school value-added measures from Norwegian register data, allowing us to causally estimate school quality effects. Leveraging the advantages of both data sources, we provide the first causally identified study of gene-environment interactions in the school context. We find evidence for substitutability of PGIEA and school quality in reading but not numeracy: a 1 SD increase of school quality decreases the impact of the PGIEA on reading test scores by 6%. The substitutability arises through gains of students at the lower end of the PGIEA distribution. This shows that investments in school quality may help students to overcome their draw in the genetic lottery.

Keywords: polygenic index; gene-environment interaction; education; school value-added (search for similar items in EconPapers)
Date: 2025-05
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