IDEAS home Printed from https://ideas.repec.org/p/ems/eureir/7246.html
   My bibliography  Save this paper

Long-term forecast for the Dutch economy

Author

Listed:
  • Franses, Ph.H.B.F.
  • de Groot, E.A.

Abstract

A strong link exists between Randstad's temporary sta±ng services and Dutch GDP. The two annual series share a stochastic trend and two long-swing deterministic cycles. Causality appears to run from temporary sta±ng to GDP and not vice versa. These features are taken aboard in a simple forecasting model for Dutch GDP growth for the period 2005-2015. The forecasts suggest growth rates around 2 per cent, with a dip to be expected around 2012-2013.

Suggested Citation

  • Franses, Ph.H.B.F. & de Groot, E.A., 2006. "Long-term forecast for the Dutch economy," Econometric Institute Research Papers EI 2006-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Handle: RePEc:ems:eureir:7246
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/7246/ei2006-06.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. de Groot, E.A. & Franses, Ph.H.B.F., 2005. "Real time estimates of GDP growth," Econometric Institute Research Papers EI 2005-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    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. Philip Hans Franses, 2011. "Model selection for forecast combination," Applied Economics, Taylor & Francis Journals, vol. 43(14), pages 1721-1727.
    2. Ard den Reijer, 2006. "The Dutch business cycle: which indicators should we monitor?," DNB Working Papers 100, Netherlands Central Bank, Research Department.
    3. ten Cate, Arie & Franses, Philip Hans, 2008. "Error-correction modelling in discrete and continuous time," Economics Letters, Elsevier, vol. 101(2), pages 140-141, November.
    4. Ard den Reijer, 2007. "Identifying Regional and Sectoral Dynamics of the Dutch Staffing Labour Cycle," DNB Working Papers 153, Netherlands Central Bank, Research Department.
    5. Elke J. Jahn & Jan Bentzen, 2012. "What Drives the Demand for Temporary Agency Workers?," LABOUR, CEIS, vol. 26(3), pages 341-355, September.
    6. den Reijer, Ard H.J., 2011. "Regional and sectoral dynamics of the Dutch staffing labor cycle," Economic Modelling, Elsevier, vol. 28(4), pages 1826-1837, July.
    7. de Groot, E.A. & Franses, Ph.H.B.F., 2005. "Real time estimates of GDP growth, based on two-regime models," Econometric Institute Research Papers EI 2005-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    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:ems:eureir:7246. 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/feeurnl.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.