IDEAS home Printed from
   My bibliography  Save this book chapter

High and Low-Skilled Labour in a Macroeconometric Model of the Netherlands

In: Market Behaviour and Macroeconomic Modelling


  • D. P. Broer
  • D. A. G. Draper
  • A. Houweling
  • F. H. Huizinga
  • P. A. Jongh


This paper presents a preliminary version of a new macroeconometric model developed at the Netherlands Bureau for Economic Policy Analysis. It is the result of a research effort with two major objectives. The first one is to build a model that is suitable for short, medium and long-term analyses. The rationale behind this goal is that many current policies and policy proposals are aimed at improving the structure of the economy. Thus, these policies aim to change the equilibrium of the economy. However, the new equilibrium obviously is not reached overnight, and these policies may in effect have very different short and medium-term effects. In particular, the short/ medium and long-term welfare effects of these policies may be of opposite sign, following the saying of ‘no pain, no gain,’ and it is this trade-off between ‘current pain’ and ‘future gain’ that often makes it unclear whether a policy should be adopted, or at least makes the proposal controversial.

Suggested Citation

  • D. P. Broer & D. A. G. Draper & A. Houweling & F. H. Huizinga & P. A. Jongh, 1998. "High and Low-Skilled Labour in a Macroeconometric Model of the Netherlands," Palgrave Macmillan Books, in: Steven Brakman & Hans Ees & Simon K. Kuipers (ed.), Market Behaviour and Macroeconomic Modelling, chapter 10, pages 243-271, Palgrave Macmillan.
  • Handle: RePEc:pal:palchp:978-1-349-26732-3_10
    DOI: 10.1007/978-1-349-26732-3_10

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.


    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:pal:palchp:978-1-349-26732-3_10. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (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.