IDEAS home Printed from https://ideas.repec.org/p/oec/traaab/188-en.html
   My bibliography  Save this paper

The Routine Content Of Occupations: New Cross-Country Measures Based On PIAAC

Author

Listed:
  • Luca Marcolin

    (OECD)

  • Sébastien Miroudot

    (OECD)

  • Mariagrazia Squicciarini

    (OECD)

Abstract

This work proposes a novel measure of the routine content of occupations, called the Routine Intensity Indicator (RII), built on data from the OECD Programme for the International Assessment of Adult Competencies (PIAAC) survey. The RII uses information about the extent to which workers can modify the sequence of their tasks and decide the type of tasks to be performed on the job. Based on median RII values of individuals in 3-digit occupations across 20 OECD countries, jobs are grouped into quartiles of routine-intensity. On average, in 2012, 46% of employed persons worked in non-routine (18%) or low (28%) routine intensive occupations, with the distribution differing significantly across countries. The relationship between the routine content of occupations and the skills of the workforce is also investigated. While a negative correlation does emerge between skill content and routine intensity – i.e. more routine-intensive occupations tend to be associated with lower skills – this relationship is not necessarily very strong.

Suggested Citation

  • Luca Marcolin & Sébastien Miroudot & Mariagrazia Squicciarini, 2016. "The Routine Content Of Occupations: New Cross-Country Measures Based On PIAAC," OECD Trade Policy Papers 188, OECD Publishing.
    • Handle: RePEc:oec:traaab:188-en
    DOI: 10.1787/5jm0mq86fljg-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/5jm0mq86fljg-en
    Download Restriction: no
    File URL: https://libkey.io/10.1787/5jm0mq86fljg-en?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Mariacristina Piva & Marco Vivarelli, 2018. "Innovation, jobs, skills and tasks: a multifaceted relationship," DISCE - Quaderni del Dipartimento di Politica Economica dipe0001, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    2. Rita K. Almeida & Ana M. Fernandes & Mariana Viollaz, 2017. "Does the Adoption of Complex Software Impact Employment Composition and the Skill Content of Occupations? Evidence from Chilean Firms," CEDLAS, Working Papers 0214, CEDLAS, Universidad Nacional de La Plata.
    3. Nicola Gagliardi & Elena Grinza & François Rycx, 2021. "Can You Teach an Old Dog New Tricks? New Evidence on the Impact of Tenure on Productivity," Working Papers CEB 21-007, ULB -- Universite Libre de Bruxelles.
    4. repec:gdk:wpaper:51 is not listed on IDEAS
    5. Nicola Gagliardi & Benoît Mahy & François Rycx, 2020. "Trade, GVCs, and wage inequality: Theoretical and empirical insights," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(2), pages 115-134.
    6. Sebastian Lago Raquel & Federico Biagi, 2018. "The Routine Biased Technical Change hypothesis: a critical review," JRC Research Reports JRC113174, Joint Research Centre.
    7. repec:gdk:wpaper:66 is not listed on IDEAS
    8. Iskra Beleva, 2022. "Digitalisation and Its Impact on Employment: Quantitative and Qualitative Aspects," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 269-300.
    9. Dimitris Gavalas & Theodoros Syriopoulos & Efthimios Roumpis, 2022. "Digital adoption and efficiency in the maritime industry," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-22, December.
    10. Piotr Lewandowski & Albert Park & Wojciech Hardy & Yang Du & Saier Wu, 2022. "Technology, Skills, and Globalization: Explaining International Differences in Routine and Nonroutine Work Using Survey Data," The World Bank Economic Review, World Bank, vol. 36(3), pages 687-708.
    11. Emil Mihaylov & Kea Tijdens, 2019. "Measuring the Routine and Non-Routine Task Content of 427 Four-Digit ISCO-08 Occupations," Tinbergen Institute Discussion Papers 19-035/IV, Tinbergen Institute.
    12. Reijnders, Laurie S.M. & de Vries, Gaaitzen J., 2018. "Technology, offshoring and the rise of non-routine jobs," Journal of Development Economics, Elsevier, vol. 135(C), pages 412-432.
    13. Wirkierman, Ariel Luis, 2023. "Structural economic dynamics in actual industrial economies," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 245-262.
    14. Yashiro, Naomitsu & Kyyrä, Tomi & Hwang, Hyunjeong & Tuomala, Juha, 2020. "Technology, Labour Market Institutions and Early Retirement: Evidence from Finland," IZA Discussion Papers 13990, Institute of Labor Economics (IZA).
    15. Nicoletti, Giuseppe & von Rueden, Christina & Andrews, Dan, 2020. "Digital technology diffusion: A matter of capabilities, incentives or both?," European Economic Review, Elsevier, vol. 128(C).
    16. Gunther Tichy, 2018. "Polarisierung der beruflichen Anforderungen durch die Digitalisierung?," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(3), pages 177-190, March.
    17. Mr. Christian H Ebeke & Jan-Martin Frie & Louise Rabier, 2019. "Deepening the EU’s Single Market for Services," IMF Working Papers 2019/269, International Monetary Fund.
    18. Youngho Kang & Unjung Whang, 2018. "To Whom Does Outward FDI Give Jobs?," Open Economies Review, Springer, vol. 29(3), pages 613-639, July.
    19. Asian Bank, 2018. "Asian Development Outlook (ADO) 2018: How Technology Affects Jobs," Working Papers id:12717, eSocialSciences.

    More about this item

    Keywords

    occupations; routine task; Skill;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:oec:traaab:188-en. 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://edirc.repec.org/data/tdoecfr.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.