IDEAS home Printed from https://ideas.repec.org/p/ipt/laedte/202013.html
   My bibliography  Save this paper

A Comparative national tasks database

Author

Listed:

Abstract

The present study offers an original and unique database collecting information on task profiles using national data across five European countries (France, Germany, Italy, Spain and UK) in order to assess the existence of cross country variability in terms of tasks content, methods of work and tools used at work. Overall, the comparative component contributes to better understanding nature of work, effects of technical change, institutional and cultural variations across countries, a dimension often neglected in the literature especially for limitation in data availability at the national level. The creation of task indicators follows the overall approach and methodology developed in Fernandez-Macias, Hurley and Bisello, 2016; Fernandez-Macias, Bisello, Sarkar, Torrejon, 2016 and its updated version by Fernandez-Macias and Bisello (2020). In order to provide consistent cross-country data enabling comparisons, we applied the weighted ranking method already established in the literature and often used in the job-based approach. Using the ordered ranking resulting from the standardisation adopted, we analysed national employment structures focusing on tasks profile as well as on the employment distribution by task-terciles. The descriptive analysis performed highlights two main patterns. First, a certain degree of similarity in employment structures by tasks content terciles emerges, especially once compared across occupational groups. The task content of jobs reflects the technical nature of the production process - which is directly related to the type of product or service that is produced – and, in principle, is less affected by national differences. Second, countries show more heterogeneity in terms of work organization, namely "methods of work". This can in turn be explained by the fact that work methods reflect (relatively more than content itself) the socio-organizational structure in which they are embedded and are affected by idiosyncratic behavioral patterns of routines, cultural values, institutional frameworks.

Suggested Citation

  • Marta Fana & CIRILLO Valeria & GUARASCIO Dario & TUBIANA Matteo, 2020. "A Comparative national tasks database," JRC Working Papers on Labour, Education and Technology 2020-13, Joint Research Centre.
  • Handle: RePEc:ipt:laedte:202013
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC122699
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(6), pages 1345-1379.
    2. David J. Teece, 2019. "A capability theory of the firm: an economics and (Strategic) management perspective," New Zealand Economic Papers, Taylor & Francis Journals, vol. 53(1), pages 1-43, January.
    3. David H. Autor & Michael J. Handel, 2013. "Putting Tasks to the Test: Human Capital, Job Tasks, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 59-96.
    4. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    5. David H. Autor & David Dorn, 2013. "The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market," American Economic Review, American Economic Association, vol. 103(5), pages 1553-1597, August.
    6. Valeria Cirillo & José Molero Zayas, 2019. "Digitalizing industry? Labor, technology and work organization: an introduction to the Forum," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 313-321, September.
    7. Gene M. Grossman & Esteban Rossi-Hansberg, 2008. "Trading Tasks: A Simple Theory of Offshoring," American Economic Review, American Economic Association, vol. 98(5), pages 1978-1997, December.
    8. Baccaro,Lucio & Howell,Chris, 2017. "Trajectories of Neoliberal Transformation," Cambridge Books, Cambridge University Press, number 9781107018723, October.
    9. Edward E Leamer & Michael Storper, 2001. "The Economic Geography of the Internet Age," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 32(4), pages 641-665, December.
    10. Eli Berman & John Bound & Zvi Griliches, 1994. "Changes in the Demand for Skilled Labor within U. S. Manufacturing: Evidence from the Annual Survey of Manufactures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 367-397.
    11. Stephen Machin & John Van Reenen, 1998. "Technology and Changes in Skill Structure: Evidence from Seven OECD Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1215-1244.
    12. John Hurley & Enrique Fernandez Macias & Martina Bisello & Carlos Vacas & Marta Fana, 2019. "European Jobs Monitor 2019: Shifts in the employment structure at regional level," JRC Research Reports JRC117824, Joint Research Centre.
    13. Alan S. Blinder, 2009. "How Many US Jobs Might be Offshorable?," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 10(2), pages 41-78, April.
    14. Francesco Bogliacino & Matteo Lucchese, 2016. "Endogenous skill biased technical change: testing for demand pull effect," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(2), pages 227-243.
    15. Peter Elias, 1997. "Occupational Classification (ISCO-88): Concepts, Methods, Reliability, Validity and Cross-National Comparability," OECD Labour Market and Social Policy Occasional Papers 20, OECD Publishing.
    16. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    17. Pfeiffer, Sabine, 2018. "The "future of employment" on the shop floor: Why production jobs are less susceptible to computerization than assumed," International Journal for Research in Vocational Education and Training (IJRVET), European Research Network in Vocational Education and Training (VETNET), European Educational Research Association, vol. 5(3), pages 208-225.
    18. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    19. Pouliakas, Konstantinos & Russo, Giovanni, 2015. "Heterogeneity of Skill Needs and Job Complexity: Evidence from the OECD PIAAC Survey," IZA Discussion Papers 9392, Institute of Labor Economics (IZA).
    20. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    21. Baccaro,Lucio & Howell,Chris, 2017. "Trajectories of Neoliberal Transformation," Cambridge Books, Cambridge University Press, number 9781107603691, October.
    22. Enrique Fernandez-Macias & Martina Bisello, 2020. "A Taxonomy of Tasks for Assessing the Impact of New Technologies on Work," JRC Working Papers on Labour, Education and Technology 2020-04, Joint Research Centre.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cirillo, Valeria & Evangelista, Rinaldo & Guarascio, Dario & Sostero, Matteo, 2021. "Digitalization, routineness and employment: An exploration on Italian task-based data," Research Policy, Elsevier, vol. 50(7).
    2. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2016. "ELS issues in robotics and steps to consider them. Part 1: Robotics and employment. Consequences of robotics and technological change for the structure and level of employment," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 146501, June.
    3. Maarten Goos & Melanie Arntz & Ulrich Zierahn & Terry Gregory & Stephanie Carretero Gomez & Ignacio Gonzalez Vazquez & Koen Jonkers, 2019. "The Impact of Technological Innovation on the Future of Work," JRC Working Papers on Labour, Education and Technology 2019-03, Joint Research Centre.
    4. 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.
    5. Nicola Cassandro & Marco Centra & Dario Guarascio & Piero Esposito, 2021. "What drives employment–unemployment transitions? Evidence from Italian task-based data," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1109-1147, October.
    6. Edouard Ribes, 2021. "Scoping the transformation of the professional services industry," Working Papers hal-01889350, HAL.
    7. Thor Berger & Carl Benedikt Frey, 2016. "Structural Transformation in the OECD: Digitalisation, Deindustrialisation and the Future of Work," OECD Social, Employment and Migration Working Papers 193, OECD Publishing.
    8. Luisa Gagliardi & Simona Iammarino & Andrés Rodríguez-Pose, 2015. "Offshoring and the Geography of Jobs in Great Britain," SERC Discussion Papers sercd0185, Centre for Economic Performance, LSE.
    9. Martina Bisello & Marta Fana & Enrique Fernández-Macías & Sergio Torrejón Pérez, 2021. "A comprehensive European database of tasks indices for socio-economic research," JRC Working Papers on Labour, Education and Technology 2021-04, Joint Research Centre.
    10. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(6), pages 1345-1379.
    11. Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
    12. Guendalina Anzolin, 2021. "Automation and its Employment Effects: A Literature Review of Automotive and Garment Sectors," JRC Working Papers on Labour, Education and Technology 2021-16, Joint Research Centre.
    13. Consoli, Davide & Marin, Giovanni & Rentocchini, Francesco & Vona, Francesco, 2023. "Routinization, within-occupation task changes and long-run employment dynamics," Research Policy, Elsevier, vol. 52(1).
    14. Tobias Brändle & Andreas Koch, 2017. "Offshoring and Outsourcing Potentials: Evidence from German Micro-Level Data," The World Economy, Wiley Blackwell, vol. 40(9), pages 1775-1806, September.
    15. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the Future of Work: Macroeconomic Consequences," IZA Discussion Papers 12428, Institute of Labor Economics (IZA).
    16. Enrique Fernandez-Macias & Martina Bisello, 2020. "A Taxonomy of Tasks for Assessing the Impact of New Technologies on Work," JRC Working Papers on Labour, Education and Technology 2020-04, Joint Research Centre.
    17. Thomas Kemeny & David Rigby, 2012. "Trading away what kind of jobs? Globalization, trade and tasks in the US economy," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(1), pages 1-16, April.
    18. Koch, Andreas & Brändle, Tobias, 2013. "Outsourcing Potentials and International Tradability of Jobs. Evidence from German Micro-Level Data," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79727, Verein für Socialpolitik / German Economic Association.
    19. Peng, Fei & Anwar, Sajid & Kang, Lili, 2017. "New technology and old institutions: An empirical analysis of the skill-biased demand for older workers in Europe," Economic Modelling, Elsevier, vol. 64(C), pages 1-19.
    20. Luca Bittarello & Francis Kramarz & Alexis Maitre, 2024. "The Task Content of Occupations," Revue économique, Presses de Sciences-Po, vol. 75(1), pages 31-53.

    More about this item

    Keywords

    tasks; technical change; cross-country comparative analysis;
    All these keywords.

    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:ipt:laedte:202013. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.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.