IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/979.html
   My bibliography  Save this paper

Understanding the positive effects of the COVID-19 pandemic on women’s fertility in Norway

Author

Listed:
  • Trude Lappegård
  • Tom Kornstad
  • Lars Dommermuth

    (Statistics Norway)

  • Axel Peter Kristensen

Abstract

This study examines the effect of the COVID-19 pandemic on fertility in Norway at the individual level. Studies using data at the macro level have found a positive short-term effect of the pandemic on fertility level in Norway, but women’s fertility response to the pandemic may differ depending on their life situation. We use the first lockdown on March 12, 2020 as a marker of the pandemic and apply a regression discontinuity design to compare births of women that were conceived before the pandemic started with those conceived during the first eight months of the pandemic. The positive effect on women’s fertility in Norway was mainly driven by women in life phases that have generally high fertility rates (women aged 28–35 years and women who already have children). These groups are likely to be in an economic and socially secure and stable situation in which the restrictions due to the pandemic had limited influence. Besides two exceptions, we do not find differences in the effect of the pandemic on childbearing by women’s work situation. This is most likely related to the strong welfare state and the generous additional pandemic-related measures taken by the Norwegian government.

Suggested Citation

  • Trude Lappegård & Tom Kornstad & Lars Dommermuth & Axel Peter Kristensen, 2022. "Understanding the positive effects of the COVID-19 pandemic on women’s fertility in Norway," Discussion Papers 979, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:979
    as

    Download full text from publisher

    File URL: https://www.ssb.no/en/befolkning/fodte-og-dode/artikler/understanding-the-positive-effects-of-the-covid-19-pandemic-on-womens-fertility-in-norway/_/attachment/inline/9c05a6f9-0100-4218-bccd-1659e96ae303:86ccb07957174d85769bb67c8e9a5ccbc0247814/DP979_web.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Fertility; Demography; COVID-19; Regression discontinuity design;
    All these keywords.

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ssb:dispap:979. 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: L Maasø (email available below). General contact details of provider: https://edirc.repec.org/data/ssbgvno.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.