IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2023-003.html
   My bibliography  Save this paper

How Effective were Job-Retention Schemes during the COVID-19 Pandemic? A Microsimulation Approach for European Countries

Author

Listed:
  • W. Raphael Lam
  • Alexandra Solovyeva

Abstract

The COVID-19 pandemic had posed a dramatic impact on labor markets across Europe. Forceful fiscal responses have prevented an otherwise sharper contraction. Many countries introduced or expanded job-retention schemes to preserve jobs and support households. This paper uses a microsimulation approach (EUROMOD) and household data to assess the effectiveness of those schemes in stabilizing household income during the pandemic across European countries. Empirical evidence shows that job-retention schemes were effective in stabilizing income and, along with other measures, absorbed nearly 80 percent of market income shocks—almost doubling the extent of the automatic stabilization of the pre-pandemic tax and benefit systems. The large effects are related to the widespread use and scaling up of those schemes and a deep but short-lived disruption to labor markets during the pandemic. Along with other fiscal support measures, job-retention schemes helped mitigate the rise in the unemployment rate, by about 3 percentage points, and income inequality during the pandemic. Our results show that job-retention schemes were largely targeted, in which households more vulnerable to income losses, such as lower-income families, youth, and low-skilled workers, are able to stabilize their income.

Suggested Citation

  • W. Raphael Lam & Alexandra Solovyeva, 2023. "How Effective were Job-Retention Schemes during the COVID-19 Pandemic? A Microsimulation Approach for European Countries," IMF Working Papers 2023/003, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2023/003
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=528066
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Konstantins Benkovskis & Olegs Tkacevs & Karlis Vilerts, 2024. "Understanding How Job Retention Schemes Reshape the Within-Occupation Skill Profile of Employees within Firms," Working Papers 2024/02, Latvijas Banka.
    2. Camilo Gómez & Daniela Rodríguez-Novoa, 2024. "Firm Support Measures, Credit Payment Behavior, and Credit Risk," IHEID Working Papers 03-2024, Economics Section, The Graduate Institute of International Studies.

    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:imf:imfwpa:2023/003. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.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.