IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0330130.html

A life course perspective on predictors of midlife socioeconomic status

Author

Listed:
  • Erik Lykke Mortensen
  • Gunhild Tidemann Okholm
  • Trine Flensborg-Madsen
  • Merete Osler
  • Emilie Rune Hegelund

Abstract

Background: Previous studies have found paternal occupation, childhood intelligence, and educational attainment to be important predictors of socioeconomic status (SES) later in life. However, these factors only explain part of the variance in SES and thus, it is important to identify other predictors of SES and trajectories of influence from early childhood to adulthood. Objectives: To analyze predictors of SES attainment during the life course from early childhood to midlife with special emphasis on identifying direct and indirect effects on midlife SES of early childhood, late childhood and young adult characteristics. Methods: This study uses questionnaire and national registry data, including data on parental social background, intelligence, education, and midlife SES for 6,294 members of the Metropolit 1953 Danish Male Birth Cohort. The study sample included cohort members with information on intelligence at age 12 who were living in Denmark at age 50. Using structural equation modelling, direct and indirect mediated effects on midlife SES were estimated for early childhood, late childhood, and young adult characteristics. Results: Educational attainment, intelligence, parental education, and father’s occupational class had the strongest influences on midlife SES. A prediction model only including education and intelligence could only be slightly improved by the inclusion of other predictors, from 53.5% to 54.1% explained variance in midlife SES. Educational attainment was a particularly strong predictor of status attainment. Other early and late childhood factors had relatively weak direct effects, but significant indirect effects. Thus, it was possible to identify trajectories of influence from early childhood to midlife. Conclusion: Young adult education and intelligence were the strongest predictors of midlife SES. Early and late childhood factors influence young adult characteristics, but over the life course the direct effects of early life variables tend to decrease, and the effects on midlife SES become mediated and indirect.

Suggested Citation

  • Erik Lykke Mortensen & Gunhild Tidemann Okholm & Trine Flensborg-Madsen & Merete Osler & Emilie Rune Hegelund, 2025. "A life course perspective on predictors of midlife socioeconomic status," PLOS ONE, Public Library of Science, vol. 20(9), pages 1-15, September.
  • Handle: RePEc:plo:pone00:0330130
    DOI: 10.1371/journal.pone.0330130
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0330130
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0330130&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0330130?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. Heckman, James & Landersø, Rasmus, 2022. "Lessons for Americans from Denmark about inequality and social mobility," Labour Economics, Elsevier, vol. 77(C).
    2. Almlund, Mathilde & Duckworth, Angela Lee & Heckman, James & Kautz, Tim, 2011. "Personality Psychology and Economics," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 1-181, Elsevier.
    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:spo:wpmain:info:hdl:2441/6s39gt704s95upu27ma7s3p6q8 is not listed on IDEAS
    2. Iryna Hayduk & Maude Toussaint‐Comeau, 2022. "Determinants of noncognitive skills: Mediating effects of siblings' interaction and parenting quality," Contemporary Economic Policy, Western Economic Association International, vol. 40(4), pages 677-694, October.
    3. Cobb-Clark, Deborah A. & Schurer, Stefanie, 2012. "The stability of big-five personality traits," Economics Letters, Elsevier, vol. 115(1), pages 11-15.
    4. Orazio Attanasio & Sarah Cattan & Emla Fitzsimons & Costas Meghir & Marta Rubio-Codina, 2020. "Estimating the Production Function for Human Capital: Results from a Randomized Controlled Trial in Colombia," American Economic Review, American Economic Association, vol. 110(1), pages 48-85, January.
    5. James J. Heckman, 2019. "The Race Between Demand and Supply: Tinbergen’s Pioneering Studies of Earnings Inequality," De Economist, Springer, vol. 167(3), pages 243-258, September.
    6. Kai Hong & Peter A. Savelyev & Kegon T. K. Tan, 2020. "Understanding the Mechanisms Linking College Education with Longevity," Journal of Human Capital, University of Chicago Press, vol. 14(3), pages 371-400.
    7. Hendrik Thiel & Stephan L. Thomsen, 2015. "Individual Poverty Paths and the Stability of Control-Perception," SOEPpapers on Multidisciplinary Panel Data Research 794, DIW Berlin, The German Socio-Economic Panel (SOEP).
    8. Thomas Pave Sohnesen, 2019. "Are you what you consume?: Impact of food, soft drinks, and coffee on cognitive and non-cognitive test scores," WIDER Working Paper Series wp-2019-117, World Institute for Development Economic Research (UNU-WIDER).
    9. Vaaramo, Mikko & Huikari, Sanna & Ala-Mursula, Leena & Miettunen, Jouko & Korhonen, Marko, 2024. "Temperament traits and economic preferences predict occupational choice beyond human capital variables," Labour Economics, Elsevier, vol. 90(C).
    10. Alfonso Arellano & Noelia Camara & David Tuesta, 2014. "El efecto de la autoconfianza en el conocimiento financiero," Working Papers 1427, BBVA Bank, Economic Research Department.
    11. Esteban M. Aucejo & Jonathan James, 2019. "Catching up to girls: Understanding the gender imbalance in educational attainment within race," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 502-525, June.
    12. Hisaki Kono & Yasuyuki Sawada & Abu S. Shonchoy, 2016. "DVD-based Distance-learning Program for University Entrance Exams: Experimental Evidence from Rural Bangladesh," CIRJE F-Series CIRJE-F-1027, CIRJE, Faculty of Economics, University of Tokyo.
    13. Naghsh Nejad, Maryam & Schurer, Stefanie, 2019. "Cognitive and Non-Cognitive Abilities of Immigrants: New Perspectives on Migrant Quality from a Selective Immigration Country," IZA Discussion Papers 12700, IZA Network @ LISER.
    14. Wazah Pello-Esso & Ulf Gerdtham & Sara Larsson Lönn & Jan Sundquist & Kristina Sundquist, 2025. "Immigrant-Native Wage Gap in Sweden: Do Personality Traits Matter?," Journal of International Migration and Integration, Springer, vol. 26(1), pages 467-489, March.
    15. Marcelo Arbex & Justin M. Carre & Shawn N. Geniole & Enlinson Mattos, 2018. "Testosterone, personality traits and tax evasion," Working Papers 1801, University of Windsor, Department of Economics.
    16. Premand, Patrick & Brodmann, Stefanie & Almeida, Rita & Grun, Rebekka & Barouni, Mahdi, 2016. "Entrepreneurship Education and Entry into Self-Employment Among University Graduates," World Development, Elsevier, vol. 77(C), pages 311-327.
    17. Himmler, Oliver & Koenig, Tobias, 2012. "Self-Evaluations and Performance: Evidence from Adolescence," Hannover Economic Papers (HEP) dp-507, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    18. Matthias Doepke & Giuseppe Sorrenti & Fabrizio Zilibotti, 2019. "The Economics of Parenting," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 55-84, August.
    19. Shelly Lundberg, 2013. "The College Type: Personality and Educational Inequality," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 421-441.
    20. Nemeczek, Fabian & Radermacher, Jan, 2022. "Personality-augmented MPC: Linking survey and transaction data to explain MPC heterogeneity by Big Five personality traits," SAFE Working Paper Series 348, Leibniz Institute for Financial Research SAFE.
    21. Proto, Eugenio & Rustichini, Aldo, 2015. "Life satisfaction, income and personality," Journal of Economic Psychology, Elsevier, vol. 48(C), pages 17-32.

    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:plo:pone00:0330130. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.