IDEAS home Printed from https://ideas.repec.org/p/eim/papers/n200207.html
   My bibliography  Save this paper

PRISMA, The Size-Class Module

Author

Listed:
  • André van Stel
  • Gerrit de Wit

Abstract

PRISMA - an acronym of Policy Research Instrument for Size-aspects in Macro-economic Analysis - is an economic macro-sector model. It has been designed in such a way that it produces results consistent with those produced by the current macro-sector model of CPB, Netherlands Bureau for Economic Policy Analysis. PRISMA is used for forecasting, scenario building and what-if analyses with respect to government policies and exogenous shocks. Its time horizon is 3-25 years. PRISMA consists of a kernel and a number of modules. Its kernel is documented in De Wit (2001). PRISMA's most important module is the size-class module. In this report the present version of this module is documented. In the kernel of PRISMA the business sector is subdivided into eighteen industries. In the size-class module the non-primary private industries (thirteen in total) are further subdivided into three size-classes: small (0-9 employees), medium-sized (10-99 employees), and large (100 or more employees) businesses. Hence, the following two types of model exercises become possible. Firstly, economic effects derived by PRISMA's kernel - for example when forecasting, building a scenario, or evaluating the consequences of changes in policy or the economic environment - can be 'translated' into the prospects for SMEs. Secondly, when circumstances for SMEs change differently compared to large businesses - for example due to a policy measure that focuses particularly on SMEs - the consequences can be evaluated by using the size-class module.

Suggested Citation

  • André van Stel & Gerrit de Wit, 2002. "PRISMA, The Size-Class Module," Scales Research Reports N200207, EIM Business and Policy Research.
  • Handle: RePEc:eim:papers:n200207
    as

    Download full text from publisher

    File URL: http://www.entrepreneurship-sme.eu/pdf-ez/N200207.pdf
    Download Restriction: no
    ---><---

    Other versions of 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:eim:papers:n200207. 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: Webmaster EIM (email available below). General contact details of provider: https://edirc.repec.org/data/eimbpnl.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.