IDEAS home Printed from https://ideas.repec.org/a/uwp/jhriss/v59y2024i3p743-776.html

Spillover Bias in Multigenerational Income Regressions

Author

Listed:
  • Jørgen Modalsli
  • Kelly Vosters

Abstract

A growing literature studies long-term income persistence across more than two generations. Despite a rich understanding of measurement-related biases for the parent–child model, far less is known for the multigenerational model that captures transmission from parents and grandparents. We show that even using a 25-year income average can result in a spurious grandparent coefficient. Importantly, for a given parental measure, averaging over more years for grandparents increases spillover bias. We propose an instrumental variables (IV) approach that can more effectively mitigate bias with shorter time spans of income. With Norwegian administrative data, we reveal a positive spillover bias in the grandfather coefficients.

Suggested Citation

  • Jørgen Modalsli & Kelly Vosters, 2024. "Spillover Bias in Multigenerational Income Regressions," Journal of Human Resources, University of Wisconsin Press, vol. 59(3), pages 743-776.
  • Handle: RePEc:uwp:jhriss:v:59:y:2024:i:3:p:743-776
    Note: DOI: https://doi.org/10.3368/jhr.0520-10919R2
    as

    Download full text from publisher

    File URL: http://jhr.uwpress.org/cgi/reprint/59/3/743
    Download Restriction: A subscription is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Zachary Ward, 2023. "Intergenerational Mobility in American History: Accounting for Race and Measurement Error," American Economic Review, American Economic Association, vol. 113(12), pages 3213-3248, December.
    3. repec:osf:socarx:uzcfs_v1 is not listed on IDEAS
    4. Thomas van Huizen, 2021. "Teacher bias or measurement error bias? Evidence from track recommendations," Working Papers 2113, Utrecht School of Economics.
    5. Zafar, Rafia, 2022. "Intergenerational Mobility in Income and Consumption: Evidence from Indonesia," SocArXiv uzcfs, Center for Open Science.

    More about this item

    JEL classification:

    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General

    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:uwp:jhriss:v:59:y:2024:i:3:p:743-776. 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: the person in charge (email available below). General contact details of provider: https://jhr.uwpress.org/ .

    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.