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Teleworkability and the COVID-19 crisis: potential and actual prevalence of remote work across Europe

Author

Listed:
  • Sostero Matteo

    (European Commission, Joint Research Centre Rue du Champ de Mars 21. 1050 Brussels. Belgium)

  • Milasi Santo

    (European Commission, Joint Research Centre Rue du Champ de Mars 21. 1050 Brussels. Belgium)

  • Hurley John

    (European Foundation for the Improvement of Living and Working Conditions, Wyattville Road, Loughlinstown, Dublin, 18, Ireland)

  • Fernandez-Macias Enrique

    (European Commission, Joint Research Centre Edificio Expo, Calle Inca Garcilaso, 3, 41092, Seville, Spain)

  • Bisello Martina

    (European Foundation for the Improvement of Living and Working Conditions, Wyattville Road, Loughlinstown, Dublin, 18, Ireland)

Abstract

This paper develops a conceptual analysis to identify the jobs that can be done from home and those that cannot, and on this basis quantifies the fraction of employees that are in teleworkable occupations across EU countries. Using detailed data on occupational tasks, we construct two teleworkability indices. The first core technical teleworkability index, based on the prominence of physical tasks, implies that 36% of dependent employment in the EU is technically teleworkable. However, our second social interaction index shows that only one third of teleworkable employment is in occupations that require limited social interactions, thus ideally suited to telework. To validate our approach, we compare our measures of teleworkability with data on the actual prevalence of telework before and during the COVID-19 outbreak. We show that our measures correlate with the observed increase in telework across countries and occupations in the EU during the outbreak. However, the prevalence of telework among employees appears to have remained below its full potential in 2020, as measured by our technical teleworkability index. This is especially the case for lower-level white-collar occupations as well as for countries with limited previous experience with teleworking. These patterns suggests that, despite the rapid increase in teleworking, the same barriers that prevented the diffusion of telework before the outbreak – lack of ICT infrastructure, fears of losing managerial control, position in the occupational hierarchy, limited workforce's digital skills, awkwardness of remote social interaction – are likely to continue playing an important role in shaping the diffusion of telework after the outbreak.

Suggested Citation

  • Sostero Matteo & Milasi Santo & Hurley John & Fernandez-Macias Enrique & Bisello Martina, 2023. "Teleworkability and the COVID-19 crisis: potential and actual prevalence of remote work across Europe," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 13(1), pages 1-25, January.
  • Handle: RePEc:vrs:izajlp:v:13:y:2023:i:1:p:25:n:4
    DOI: 10.2478/izajolp-2023-0006
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    References listed on IDEAS

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    1. Adams-Prassl, Abi & Boneva, Teodora & Golin, Marta & Rauh, Christopher, 2020. "Inequality in the impact of the coronavirus shock: Evidence from real time surveys," Journal of Public Economics, Elsevier, vol. 189(C).
    2. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "The Privilege of Working From Home at the Time of Social Distancing," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 55(3), pages 142-147, May.
    3. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    4. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    5. Simon Mongey & Laura Pilossoph & Alexander Weinberg, 2021. "Which workers bear the burden of social distancing?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(3), pages 509-526, September.
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    Cited by:

    1. Fernandez Macias Enrique, 2026. "Data, algorithms and platforms: A framework for understanding work and employment in the late digital age," JRC Working Papers on Labour, Education and Technology 2026-04, Joint Research Centre.
    2. Johansson, Eleanor & Nilsson, Pia & Larsson, Johan P & Naldi, Lucia & Westlund, Hans, 2024. "Exposure to remote work and probability of long-distance commuting: evidence from pandemic lockdowns," Working Paper Series in Economics and Institutions of Innovation 498, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies, revised 24 Feb 2025.
    3. Gianluca Argentin & Ivana Fellini & Giorgio Piccitto, 2026. "How Covid-19 has Affected Job Satisfaction Over Different time Horizons: a Multidimensional Analysis for Italy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 181(1), pages 1-26, January.
    4. Anamaria Beatrice Aldea & Silvia Parusheva & Slaveya Zhelyazkova, 2025. "Students’ Perceptions of Remote Work After COVID-19: A Comparative Study of Romania and Bulgaria," Societies, MDPI, vol. 15(10), pages 1-28, October.

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    JEL classification:

    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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