IDEAS home Printed from https://ideas.repec.org/p/ucn/wpaper/202605.html

Life Satisfaction for Young Adults Over the Covid Cycle: Did it Bounce Back?

Author

Listed:
  • David (David Patrick) Madden

Abstract

This paper examines the dynamics of life satisfaction for a sample of young Irish adults before, during and after the Covid-19 pandemic. Using longitudinal data from the Child cohort of the Growing Up in Ireland (GUI) survey we analyse changes in the Cantril ladder measure of life satisfaction and transitions across the critical threshold of high and low life satisfaction. We find that in general life satisfaction fell during Covid but then recovered but not back to its pre-Covid levels. We also use Group Based Trajectory Modelling to identify heterogeneity in the trajectories of life satisfaction and find three distinct groupings, one of which experienced quite a sharp drop in life satisfaction during Covid. Statistical associations for membership of this group include low educational attainment, financial hardship, introversion, emotional instability and lack of conscientiousness. For future crises similar to Covid, policy should first focus on protection of people with such pre-existing vulnerabilities.

Suggested Citation

  • David (David Patrick) Madden, 2026. "Life Satisfaction for Young Adults Over the Covid Cycle: Did it Bounce Back?," Working Papers 202605, School of Economics, University College Dublin.
  • Handle: RePEc:ucn:wpaper:202605
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10197/31909
    File Function: First version, 2026
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    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:ucn:wpaper:202605. 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: UCD School of Economics (email available below). General contact details of provider: https://edirc.repec.org/data/educdie.html .

    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.