IDEAS home Printed from
   My bibliography  Save this paper

A multistate demographic model for firms in the province of Gelderland


  • Corina Huisman


  • Leo Van Wissen



In the last two decades researchers from various disciplines have made attempts to model and estimate developments in the size and structure of the population of firms. Although these attempts give useful insights into possible explanatory factors of firm dynamics, the explanatory value, and hence predictive power of these models is usually not very high. In this paper we follow a pure demographic approach for the modelling of firm survival. Important dimensions of the firm are firm age, firm size (in number of employees), economic activity and firm location. Using empirical firm level data for the region of Gelderland in the Netherlands over the period 1986-2002, developments in survival are described and analysed over time in an age-period-cohort perspective. In a later phase of the project, these (aggregated) scenarios will serve as a point of reference for comparisons to more extended model specifications using micro-simulation that include additional explanatory and spatial variables. Keywords: demography of the firm, Age-Period-Cohort model, firm survival, closures

Suggested Citation

  • Corina Huisman & Leo Van Wissen, 2004. "A multistate demographic model for firms in the province of Gelderland," ERSA conference papers ersa04p586, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa04p586

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:wiw:wiwrsa:ersa04p586. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.