IDEAS home Printed from https://ideas.repec.org/p/ahy/wpaper/wp39.html
   My bibliography  Save this paper

A dose-response assessment of the labour demand during the Covid-19 pandemic in Italy

Author

Listed:
  • Fernanda Gutierrez Amaros

    (Gran Sasso Science Institute)

  • Andrea Ascani

    (Gran Sasso Science Institute)

  • Alessandra Faggian

    (Gran Sasso Science Institute)

  • Wessel Vermeulen

    (OECD Trento Centre for Local Development)

Abstract

This paper analyses how different levels of exposure to Covid-19 affected the local labour demand in Italy during the pandemic. Due to the spatially heterogeneous incidence of Covid19, we suggest that the provinces economic structures mediated the effects on the demand for different types of jobs. We use a continuous treatment framework in which, in the absence of a control group, we measure the effects of different levels of exposure to Covid-19 via the rate of contagion on the local labour demand. For this purpose, we make use of the Lightcast dataset for Italy which encompasses daily data from job postings at a NUTS 3 level. Overall, we find a non-linear, but general decrease in the growth rate of labour demand. However, we identify a threshold around the 90th level of exposure to Covid-19 beyond which the growth rate of the local labour demand increases. Our data suggest that this increase is mostly driven by essential job vacancies. Furthermore, our analysis reveals a peculiar geographical divide, whereby labour demand in provinces in Southern Italy were disproportionally affected despite the population not being as exposed to Covid-19 as the North of the country. This research aims to elucidate possible mechanisms that provoked swifts in the local labour demand and at identifying which provinces were the most affected and in the need of policy intervention

Suggested Citation

  • Fernanda Gutierrez Amaros & Andrea Ascani & Alessandra Faggian & Wessel Vermeulen, 2023. "A dose-response assessment of the labour demand during the Covid-19 pandemic in Italy," Discussion Paper series in Regional Science & Economic Geography 2023-02, Gran Sasso Science Institute, Social Sciences, revised Oct 2024.
  • Handle: RePEc:ahy:wpaper:wp39
    as

    Download full text from publisher

    File URL: https://www.gssi.it/images/discussion%20papers%20rseg/2023/DPRSEG_2023_02.pdf
    File Function: First version, 2020
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Covid-19; Labour demand; dose-response;
    All these keywords.

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    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:ahy:wpaper:wp39. 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: Andrea Ascani (email available below). General contact details of provider: https://edirc.repec.org/data/ssgssit.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.