IDEAS home Printed from https://ideas.repec.org/p/bde/opaper/2022e.html
   My bibliography  Save this paper

Containment measures, employment and the spread of COVID-19 in Spanish municipalities

Author

Listed:
  • Eduardo Gutiérrez

    (Banco de España)

  • Enrique Moral-Benito

    (Banco de España)

Abstract

In order to curb the advance of COVID-19, Royal Decree-Law 10/2020 of 29 March 2020 stipulated the temporary shutdown of all activities considered non-essential between 30 March and 9 April 2020. This paper uses municipal-level information to quantify the short-term effects of this measure both on employment and on containing the pandemic. Specifically, we analyse the relationship between the share of firms forced to shut down in each municipality and changes in Social Security registrations along with new COVID-19 cases in April. The results suggest that those municipalities most affected by the non-essential activity shutdown endured higher reductions in employment but, at the same time, they also witnessed a lower propagation of the pandemic during April. Finally, other characteristics such as ageing, colder temperatures, higher population density and proximity to the provincial capital are found to be associated with a higher incidence of COVID-19 at the municipality level.

Suggested Citation

  • Eduardo Gutiérrez & Enrique Moral-Benito, 2020. "Containment measures, employment and the spread of COVID-19 in Spanish municipalities," Occasional Papers 2022, Banco de España.
    • Handle: RePEc:bde:opaper:2022e
    as

    Download full text from publisher

    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosOcasionales/20/Files/do2022e.pdf
    File Function: First version, August 2020
    Download Restriction: no
    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosOcasionales/20/Fich/do2022.pdf
    File Function: Spanish version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    COVID-19; pandemic; employment; Spanish municipalities;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:bde:opaper:2022e. 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: Ángel Rodríguez. Electronic Dissemination of Information Unit. Research Department. Banco de España (email available below). General contact details of provider: https://edirc.repec.org/data/bdegves.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.