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Robots at work: a report on automatable and non-automatable employment shares in Europe

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  • Lordan, Grace

Abstract

This work documents the shares of non-automatable and automatable jobs in 24 European countries over the last three decades. Knowledge of this distribution is important as it reveals the countries, and the demographics within these countries whose employment is the most vulnerable to disappearing because of automation, as well countries who have tended towards substituting labour with automation at a faster rate over the last two decades. The same distribution also reveals the jobs that are likely to stay with us in the future, to the extent that they are non-automatable. This information has an obvious place in any public policy debate. We consider two definitions of automatable work. The first captures jobs that were automatable in the last three decades. This is a great measure of automation retrospectively. The second captures the jobs that are recently automatable (so captures the most recent advances in technology and allows us to consider the shares of jobs that will be automatable over the next ten years). Our analysis gives an overview of differences in the shares of retrospectively and recently automatable jobs across the EC countries included in our analysis.

Suggested Citation

  • Lordan, Grace, 2018. "Robots at work: a report on automatable and non-automatable employment shares in Europe," LSE Research Online Documents on Economics 90500, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:90500
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    File URL: http://eprints.lse.ac.uk/90500/
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    Cited by:

    1. Josten, Cecily & Lordan, Grace, 2022. "Automation and the Changing Nature of Work," IZA Discussion Papers 15180, Institute of Labor Economics (IZA).
    2. Josten, Cecily & Lordan, Grace, 2019. "Robots at Work: Automatable and Non Automatable Jobs," IZA Discussion Papers 12520, Institute of Labor Economics (IZA).
    3. Grace Lordan, 2019. "People versus machines in the UK: Minimum wages, labor reallocation and automatable jobs," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-16, December.
    4. Sergio De Nardis & Francesca Parente, 2022. "Technology and task changes in the major EU countries," Contemporary Economic Policy, Western Economic Association International, vol. 40(2), pages 391-413, April.
    5. Septimiu Szabo, 2020. "Transition to Industry 4.0 in the Visegrád Countries," European Economy - Economic Briefs 052, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    6. Zoltan Csefalvay, 2019. "What are the policy options? A systematic review of policy responses to the impacts of robotisation and automation on the labour market," JRC Working Papers on Corporate R&D and Innovation 2019-02, Joint Research Centre.

    More about this item

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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