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The role of gender in gene by family SES interactions – A twin study across four European countries

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  • Lehti, Hannu
  • Stienstra, Kim
  • Baier, Tina
  • Lyngstad, Torkild H.

Abstract

Studies of gene-by-family socioeconomic status (GxSES) interactions in educational outcomes have yielded mixed findings. Building on a socio-contextual perspective, this study emphasizes that genetic influences are shaped not only by family environments but also by broader social forces, including gender and institutional context. Prior sociogenetic research, for example, suggests that early school tracking may suppress genetic influences. Using large twin registers from Finland, Norway, Germany, and the Netherlands, we analyzed gene-by-environment interactions by parental education and child gender, employing non-parametric gene–environment interaction models. Our results showed that genetic influences in Germany were weaker, and shared environmental effects were stronger, than in the other countries. We found no significant gender differences in the magnitude of genetic or environmental effects on educational attainment. Analyses of GxSES revealed that the form and strength of interactions depend on both gender and country context. In most countries, we observed a negative interaction among women, meaning that genetic influences were weaker among individuals from high-SES families. Among men, GxSES varied across contexts, appearing positive, negative, or absent. We conclude that country context and gender shape gene-by-SES interactions in educational attainment and may help explain the mixed results reported in previous GxSES studies.

Suggested Citation

  • Lehti, Hannu & Stienstra, Kim & Baier, Tina & Lyngstad, Torkild H., 2026. "The role of gender in gene by family SES interactions – A twin study across four European countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 137, pages 1-17.
  • Handle: RePEc:zbw:espost:343496
    DOI: 10.1016/j.ssresearch.2026.103375
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    1. Victor Ronda & Esben Agerbo & Dorthe Bleses & Preben Bo Mortensen & Anders Børglum & Ole Mors & Michael Rosholm & David M. Hougaard & Merete Nordentoft & Thomas Werge, 2022. "Family disadvantage, gender, and the returns to genetic human capital," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(2), pages 550-578, April.
    2. Sari Pekkala Kerr & Tuomas Pekkarinen & Roope Uusitalo, 2013. "School Tracking and Development of Cognitive Skills," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 577-602.
    3. Tuomas Pekkarinen, 2008. "Gender Differences in Educational Attainment: Evidence on the Role of Tracking from a Finnish Quasi‐experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(4), pages 807-825, December.
    4. Christiaan Monden, 2010. "Do Measured and Unmeasured Family Factors Bias the Association Between Education and Self-Assessed Health?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 98(2), pages 321-336, September.
    5. Per Engzell & Felix C. Tropf, 2019. "Heritability of education rises with intergenerational mobility," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(51), pages 25386-25388, December.
    6. Reynolds, Matthew R. & Hajovsky, Daniel B. & Caemmerer, Jacqueline M., 2022. "The sexes do not differ in general intelligence, but they do in some specifics," Intelligence, Elsevier, vol. 92(C).
    7. Clelia Cascella & Maria Pampaka & Julian Williams, 2024. "Gender Attitudes Within and Between European Countries: Regional Variations Matter," SAGE Open, , vol. 14(3), pages 21582440241, August.
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