IDEAS home Printed from https://ideas.repec.org/a/mul/j0hje1/doi10.1430-90437y2018i1p43-68.html
   My bibliography  Save this article

Race against the Machine. The effects of the fourth industrial revolution on the professions and on the labor market

Author

Listed:
  • Serenella Caravella
  • Mirko Menghini

Abstract

The aim of this paper is twofold. Firstly, we run a logit model on a dataset of professions identified according to the fifth digit of Istat cp2011 nomenclature in order to estimate their probability of being .substituted. by robots and artificial intelligence. In that, each profession is classified according to three degrees of substitution: low, medium and high. Secondly, by using data provided by the Italian Labor Forces Survey, we exploit the main characteristics of those professions with high risk of technological displacement. Interesting findings emerge from the analysis. On one hand, jobs requiring creative and social skills are less replaceable compared to those that are manly based on routinely mansions. On the other hand, jobs with high probability of being substituted are associated with both lower levels of instruction and age. Such results provide an empirical contribution to the flourishing debate about the quantitative and qualitative occupational effects of technological progress as well as important policy implications.

Suggested Citation

  • Serenella Caravella & Mirko Menghini, 2018. "Race against the Machine. The effects of the fourth industrial revolution on the professions and on the labor market," L'industria, Società editrice il Mulino, issue 1, pages 43-68.
  • Handle: RePEc:mul:j0hje1:doi:10.1430/90437:y:2018:i:1:p:43-68
    as

    Download full text from publisher

    File URL: https://www.rivisteweb.it/download/article/10.1430/90437
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.rivisteweb.it/doi/10.1430/90437
    Download Restriction: no
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and their impact on employment: A review, synthesis and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    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:mul:j0hje1:doi:10.1430/90437:y:2018:i:1:p:43-68. 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: the person in charge (email available below). General contact details of provider: https://www.rivisteweb.it/ .

    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.