IDEAS home Printed from https://ideas.repec.org/a/ucp/jpolec/doi10.1086-724860.html
   My bibliography  Save this article

Educational Attainment and Intergenerational Mobility: A Polygenic Score Analysis

Author

Listed:
  • Aldo Rustichini
  • William G. Iacono
  • James J. Lee
  • Matt McGue

Abstract

We extend a standard model of parental investment and intergenerational mobility to include a fully specified genetic analysis of skill transmission. The model’s predictions differ substantially from the standard model’s. The coefficient of intergenerational income elasticity (IGE) may be larger than that in the standard model and depends on the distribution of the genotype. The distribution of genetic endowments may be stratified according to income. The model is tested on data, including genetic information, of twins and their parents, estimating how IGE is affected by genetic factors and how environment and genes interact. The effect of intelligence is substantially stronger than that of other traits.

Suggested Citation

  • Aldo Rustichini & William G. Iacono & James J. Lee & Matt McGue, 2023. "Educational Attainment and Intergenerational Mobility: A Polygenic Score Analysis," Journal of Political Economy, University of Chicago Press, vol. 131(10), pages 2724-2779.
    • Handle: RePEc:ucp:jpolec:doi:10.1086/724860
    DOI: 10.1086/724860
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/724860
    Download Restriction: Access to the online full text or PDF requires a subscription.
    File URL: http://dx.doi.org/10.1086/724860
    Download Restriction: Access to the online full text or PDF requires a subscription.
    File URL: https://libkey.io/10.1086/724860?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michaela Benzeval & Edith Aguirre & Meena Kumari, 2023. "Understanding Society: health, biomarker and genetic data," Fiscal Studies, John Wiley & Sons, vol. 44(4), pages 399-415, December.

    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:ucp:jpolec:doi:10.1086/724860. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JPE .

    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.