IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Automating the computation of solutions of large economic models

Listed author(s):
  • Pearson, K. R.

The computer implementation of any large economic model is usually a very expensive and time consuming task. This paper describes a software package, called GEMPACK, which is being developed specifically to reduce dramatically the research time, effort and cost required to set up one solution method (the Johansen method) on a computer. Existing features of GEMPACK are described in detail, as are developments planned for the near future. The software is model-independent, in that it works for a wide class of economic models, irrespective of the form of the equations or underlying theory. GEMPACK is portable to most mini and main-frame computers, because it has been written in ANSI standard FORTRAN 77, with such portability as a primary requirement.

(This abstract was borrowed from another version of this item.)

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 5 (1988)
Issue (Month): 4 (October)
Pages: 385-395

in new window

Handle: RePEc:eee:ecmode:v:5:y:1988:i:4:p:385-395
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

in new window

  1. K.R. Pearson & Russell J. Rimmer, 1983. "Sparse matrix methods for computable general equilibrium models of the Johansen class," Centre of Policy Studies/IMPACT Centre Working Papers op-43, Victoria University, Centre of Policy Studies/IMPACT Centre.
  2. Duchin, Faye & Szyld, Daniel B, 1979. "Application of Sparse Matrix Techniques to Inter-Regional Input-Output Analysis," Economic Change and Restructuring, Springer, vol. 15(2-3), pages 142-167.
  3. Pearson, K.R. & Rimmer, Russell J., 1985. "An efficient method for the solution of large computable general equilibrium models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 27(2), pages 223-229.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:5:y:1988:i:4:p:385-395. 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: (Dana Niculescu)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.