IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-19-00328.html

Multi-Country Tasks Measures: Beyond US-based Data and a Focus on Migration

Author

Listed:
  • Giuseppe De Arcangelis

    (Sapienza University of Rome)

  • Rama Dasi Mariani

    (Sapienza University of Rome)

Abstract

We claim that the OECD dataset PIAAC (Programme for the International Assessment of Adult Competencies) could provide a valid alternative to the US-based O*NET database in order to obtain country-specific task measures. The US presence in PIAAC allows to compare the two datasets by computing the same task indexes twice. We find that correlation coefficients between aggregate task indexes are very high (rarely less than 0.7). Focusing on European countries, we recommend the PIAAC-based task measures for future domestic and multi-country analysis (e.g. on the effects of migration in the labor markets) since task indexes appear very different among European economies.

Suggested Citation

  • Giuseppe De Arcangelis & Rama Dasi Mariani, 2019. "Multi-Country Tasks Measures: Beyond US-based Data and a Focus on Migration," Economics Bulletin, AccessEcon, vol. 39(3), pages 2155-2161.
  • Handle: RePEc:ebl:ecbull:eb-19-00328
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2019/Volume39/EB-19-V39-I3-P202.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2020. "Wage response to global production links: evidence for workers from 28 European countries (2005–2014)," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(4), pages 769-801, November.
    2. Chad Sparber & Madeline Zavodny, 2022. "Immigration, Working Conditions, and Compensating Differentials," ILR Review, Cornell University, ILR School, vol. 75(4), pages 1054-1081, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

    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:ebl:ecbull:eb-19-00328. 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: John P. Conley (email available below). General contact details of provider: .

    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.