IDEAS home Printed from https://ideas.repec.org/p/phs/dpaper/198205.html
   My bibliography  Save this paper

Nonnegative Approximate Solutions to an Econometric Model with Prescribed Goals

Author

Listed:
  • Rolando A. Danao

    (School of Economics, University of the Philippines Diliman)

Abstract

Given a linear economic model y* = ðx + b were y* is a prescribed goal vector, a linear programming problem can be used to determine the existence and uniqueness of a nonnegative instrument vector x that attains the goal and obtain such a vector if it exists. If the system y* = ðx + b does not have a solution, the approximate solution x = ðx(y*- b), where ð is the generalized inverse of ð, determines a vector ŷ = ðx that is as close as possible to y* in terms of the Euclidean distance. In this case, a linear programming problem can also be used to determine the existence and uniqueness of a nonnegative approximate solution and obtain such a solution if it exists.

Suggested Citation

  • Rolando A. Danao, 1982. "Nonnegative Approximate Solutions to an Econometric Model with Prescribed Goals," UP School of Economics Discussion Papers 198205, University of the Philippines School of Economics.
    • Handle: RePEc:phs:dpaper:198205
    as

    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.

    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:phs:dpaper:198205. 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: RT Campos (email available below). General contact details of provider: https://edirc.repec.org/data/seupdph.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.