IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-58961-6.html
   My bibliography  Save this article

The genetic and environmental composition of socioeconomic status in Norway

Author

Listed:
  • Joakim Coleman Ebeltoft

    (University of Oslo)

  • Espen Moen Eilertsen

    (University of Oslo)

  • Rosa Cheesman

    (University of Oslo)

  • Ziada Ayorech

    (University of Oslo)

  • Arno Hootegem

    (University of Oslo
    Norwegian Institute for Public Health)

  • Torkild Hovde Lyngstad

    (University of Oslo)

  • Eivind Ystrom

    (University of Oslo
    Norwegian Institute of Public Health
    University of Oslo)

Abstract

Estimating the contributions of genetic and environmental factors is key to understanding differences in socioeconomic status (SES). However, the heritability of SES varies by measure, method, and context. Here, we estimate genetic and environmental sources of variance and commonality in the ‘big four’ SES indicators. We use high-quality administrative data on educational attainment, occupational prestige, income, and wealth, and employ four family-based and unrelated genotype-based heritability methods, all drawn from the same population-wide cohort of >170,000 Norwegians aged 35-45. By drawing subsamples from a consistent sample and using registry-based data, we reduce differences in estimates due to population characteristics and measurement error. Our results show that genetic variation consistently explains more for educational attainment and occupational prestige. Family-shared environmental contributions explained more for educational attainment and wealth. Our results highlight considerable common influences on the four SES indicators among genetic and shared environmental factors, but not among non-shared environmental factors. Overall, we show how the relative importance of genetic and environmental factors to SES differences in Norway varies by method and type of socioeconomic attainment. This study is a reliable source for comparing heritability methods, and for comparing SES indicators and their genetic and environmental commonality in a social-democratic welfare state.

Suggested Citation

  • Joakim Coleman Ebeltoft & Espen Moen Eilertsen & Rosa Cheesman & Ziada Ayorech & Arno Hootegem & Torkild Hovde Lyngstad & Eivind Ystrom, 2025. "The genetic and environmental composition of socioeconomic status in Norway," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58961-6
    DOI: 10.1038/s41467-025-58961-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-58961-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-58961-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sandra E. Black & Paul J. Devereux & Fanny Landaud & Kjell G. Salvanes, 2023. "Where Does Wealth Come From? Measuring Lifetime Resources in Norway," Journal of Economic Perspectives, American Economic Association, vol. 37(4), pages 115-136, Fall.
    2. Oakes, J. Michael & Rossi, Peter H., 2003. "The measurement of SES in health research: current practice and steps toward a new approach," Social Science & Medicine, Elsevier, vol. 56(4), pages 769-784, February.
    3. Caitlin E. Carey & Rebecca Shafee & Robbee Wedow & Amanda Elliott & Duncan S. Palmer & John Compitello & Masahiro Kanai & Liam Abbott & Patrick Schultz & Konrad J. Karczewski & Samuel C. Bryant & Caro, 2024. "Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation," Nature Human Behaviour, Nature, vol. 8(8), pages 1599-1615, August.
    4. Miles Corak, 2013. "Income Inequality, Equality of Opportunity, and Intergenerational Mobility," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 79-102, Summer.
    5. Ganzeboom, H.B.G. & de Graaf, P.M. & Treiman, D.J. & de Leeuw, J., 1992. "A standard international socio-economic index of occupational status," WORC Paper 92.01.001/1, Tilburg University, Work and Organization Research Centre.
    6. Tabea Schoeler & Doug Speed & Eleonora Porcu & Nicola Pirastu & Jean-Baptiste Pingault & Zoltán Kutalik, 2023. "Participation bias in the UK Biobank distorts genetic associations and downstream analyses," Nature Human Behaviour, Nature, vol. 7(7), pages 1216-1227, July.
    7. Hans Fredrik Sunde & Nikolai Haahjem Eftedal & Rosa Cheesman & Elizabeth C. Corfield & Thomas H. Kleppesto & Anne Caroline Seierstad & Eivind Ystrom & Espen Moen Eilertsen & Fartein Ask Torvik, 2024. "Genetic similarity between relatives provides evidence on the presence and history of assortative mating," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    8. W. David Hill & Neil M. Davies & Stuart J. Ritchie & Nathan G. Skene & Julien Bryois & Steven Bell & Emanuele Di Angelantonio & David J. Roberts & Shen Xueyi & Gail Davies & David C. M. Liewald & Davi, 2019. "Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income," Nature Communications, Nature, vol. 10(1), pages 1-16, December.
    9. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    10. Ari Hyytinen & Pekka Ilmakunnas & Edvard Johansson & Otto Toivanen, 2019. "Heritability of lifetime earnings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 319-335, September.
    11. repec:plo:pgen00:0020041 is not listed on IDEAS
    12. Michel G. Nivard & Daniel W. Belsky & K. Paige Harden & Tina Baier & Ole A. Andreassen & Eivind Ystrøm & Elsje Bergen & Torkild H. Lyngstad, 2024. "More than nature and nurture, indirect genetic effects on children’s academic achievement are consequences of dynastic social processes," Nature Human Behaviour, Nature, vol. 8(4), pages 771-778, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:osf:socarx:5a7vx_v1 is not listed on IDEAS
    2. Evelina T. Akimova & Tobias Wolfram & Xuejie Ding & Felix C. Tropf & Melinda C. Mills, 2025. "Polygenic prediction of occupational status GWAS elucidates genetic and environmental interplay in intergenerational transmission, careers and health in UK Biobank," Nature Human Behaviour, Nature, vol. 9(2), pages 391-405, February.
    3. Ebeltoft, Joakim Coleman & Eilertsen, Espen Moen & Cheesman, Rosa & Ayorech, Ziada & Van Hootegem, Arno & Lyngstad, Torkild Hovde & Ystrom, Eivind, 2024. "The Genetic and Environmental Composition of Socioeconomic Status: A population-wide multi-method study in >170,000 Norwegian individuals," SocArXiv 5a7vx, Center for Open Science.
    4. Akimova, Evelina T. & Wolfram, Tobias & Ding, Xuejie & Tropf, Felix C. & Mills, Melinda C., 2025. "Polygenic prediction of occupational status GWAS elucidates genetic and environmental interplay in intergenerational transmission, careers and health in UK Biobank," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(Febuary), pages 391-405.
    5. Abdellaoui, Abdel & Martin, Hilary C. & Rutherford, Adam & Kolk, Martin & Muthukrishna, Michael & Tropf, Felix & Mills, Melinda C. & Zietsch, Brendan & Verweij, Karin J.H. & Visscher, Peter M., 2025. "Socio-economic status is a social construct with heritable components and genetic consequences: a social construct with heritable components and genetic consequences," LSE Research Online Documents on Economics 127662, London School of Economics and Political Science, LSE Library.
    6. Hyeokmoon Kweon & Casper A. P. Burik & Yuchen Ning & Rafael Ahlskog & Charley Xia & Erik Abner & Yanchun Bao & Laxmi Bhatta & Tariq O. Faquih & Maud Feijter & Paul Fisher & Andrea Gelemanović & Alexan, 2025. "Associations between common genetic variants and income provide insights about the socio-economic health gradient," Nature Human Behaviour, Nature, vol. 9(4), pages 794-805, April.
    7. Silvia Avram & Olga Canto, 2016. "Labour outcomes and family background: Evidence from the EU during the recession," Working Papers 414, ECINEQ, Society for the Study of Economic Inequality.
    8. Hyeokmoon Kweon & Casper A.P. Burik & Richard Karlsson Linner & Ronald de Vlaming & Aysu Okbay & Daphne Martschenko & Kathryn Paige Harden & Thomas A. DiPrete & Philipp D. Koellinger, 2020. "Genetic Fortune: Winning or Losing Education, Income, and Health," Tinbergen Institute Discussion Papers 20-053/V, Tinbergen Institute, revised 01 Dec 2020.
    9. P. Jenkins, Stephen & Jäntti, Markus, 2013. "Income mobility," ISER Working Paper Series 2013-23, Institute for Social and Economic Research.
    10. John Jerrim, 2014. "The link between family background and later lifetime income: how does the UK compare to other countries?," DoQSS Working Papers 14-02, Quantitative Social Science - UCL Social Research Institute, University College London.
    11. Margherita Malanchini & Andrea G. Allegrini & Michel G. Nivard & Pietro Biroli & Kaili Rimfeld & Rosa Cheesman & Sophie Stumm & Perline A. Demange & Elsje Bergen & Andrew D. Grotzinger & Laurel Raffin, 2024. "Genetic associations between non-cognitive skills and academic achievement over development," Nature Human Behaviour, Nature, vol. 8(10), pages 2034-2046, October.
    12. Maciej Jakubowski, 2015. "Latent variables and propensity score matching: a simulation study with application to data from the Programme for International Student Assessment in Poland," Empirical Economics, Springer, vol. 48(3), pages 1287-1325, May.
    13. Grätz, Michael, 2019. "Does regime change affect intergenerational mobility? Evidence from German reunification," Working Paper Series 1/2019, Stockholm University, Swedish Institute for Social Research.
    14. Laura Ravazzini & Florian Chávez-Juárez, 2018. "Which Inequality Makes People Dissatisfied with Their Lives? Evidence of the Link Between Life Satisfaction and Inequalities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(3), pages 1119-1143, June.
    15. Ke Meng & Shouhao Li, 2023. "Welfare Regimes and Intergenerational Social Mobility: An Institutional Explanation of the Great Gatsby Curve," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 355-375, January.
    16. Allen, Jaime & Muñoz, Juan Carlos & Rosell, Jordi, 2019. "Effect of a major network reform on bus transit satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 310-333.
    17. Bernard Chasekwa & John A Maluccio & Robert Ntozini & Lawrence H Moulton & Fan Wu & Laura E Smith & Cynthia R Matare & Rebecca J Stoltzfus & Mduduzi N N Mbuya & James M Tielsch & Stephanie L Martin & , 2018. "Measuring wealth in rural communities: Lessons from the Sanitation, Hygiene, Infant Nutrition Efficacy (SHINE) trial," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-19, June.
    18. Mattia Marchi & Anne Alkema & Charley Xia & Chris H. L. Thio & Li-Yu Chen & Winni Schalkwijk & Gian M. Galeazzi & Silvia Ferrari & Luca Pingani & Hyeokmoon Kweon & Sara Evans-Lacko & W. David Hill & M, 2024. "Investigating the impact of poverty on mental illness in the UK Biobank using Mendelian randomization," Nature Human Behaviour, Nature, vol. 8(9), pages 1771-1783, September.
    19. Song, Lijun, 2015. "Does who you know in the positional hierarchy protect or hurt? Social capital, comparative reference group, and depression in two societies," Social Science & Medicine, Elsevier, vol. 136, pages 117-127.
    20. Concepción Moreno-Maldonado & Francisco Rivera & Pilar Ramos & Carmen Moreno, 2018. "Measuring the Socioeconomic Position of Adolescents: A Proposal for a Composite Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 517-538, April.
    21. Vinay Reddy Venumuddala, 2020. "Patterns of social mobility across social groups in India," Papers 2005.06771, arXiv.org.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-58961-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.