IDEAS home Printed from https://ideas.repec.org/p/unm/umarot/2020001.html
   My bibliography  Save this paper

Methodiek regionale arbeidsmarktprognoses 2019-2024

Author

Listed:
  • Bakens, Jessie

    (RS: GSBE other - not theme-related research, ROA / Dynamics of the labour market)

  • Dijksman, Sander

    (RS: GSBE other - not theme-related research, ROA / Dynamics of the labour market)

  • Fouarge, Didier

    (RS: GSBE Theme Learning and Work, RS: GSBE Theme Data-Driven Decision-Making, ROA / Dynamics of the labour market)

Abstract

Vanwege het toenemend belang van regionale arbeidsmarktinformatie stelt het Researchcentrum voor Onderwijs en Arbeidsmarkt (ROA) van de Universiteit Maastricht sinds 2013 regionale arbeidsmarktprognoses naar opleiding voor Nederland op.1 Deze regionale prognoses zijn afgeleid van en dienen tevens ter aanvulling op de landelijke arbeidsmarktprognoses. Dit technisch rapport geeft de methodiek weer die gevolgd is bij het vertalen van de landelijke arbeidsmarktprognoses van het ROA naar 35 arbeidsmarktregio’s waarbij de gebruikte schattingsmethodieken zo veel als mogelijk worden onderbouwd vanuit de wetenschappelijke literatuur.

Suggested Citation

  • Bakens, Jessie & Dijksman, Sander & Fouarge, Didier, 2020. "Methodiek regionale arbeidsmarktprognoses 2019-2024," ROA Technical Report 001, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    • Handle: RePEc:unm:umarot:2020001
    DOI: 10.26481/umarot.2020001
    as

    Download full text from publisher

    File URL: https://cris.maastrichtuniversity.nl/ws/files/48077996/ROA_TR_2020_1.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.26481/umarot.2020001?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
    ---><---

    More about this item

    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:unm:umarot:2020001. 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: Andrea Willems or Leonne Portz (email available below). General contact details of provider: https://edirc.repec.org/data/romaanl.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.