IDEAS home Printed from
   My bibliography  Save this article

Analysis of the impact of a homogenous structure of factor signs on effective indicator


  • T. Bondarenko


The article proposes a theoretical model to assess the impact of a homogenous structure of factors on the effective indicator in order to define optimum structure of factors as an optimization criterion. With the necessary software, it makes sense to conduct such analysis in parallel with other estimations of the impact of factors on the result. It is well-proven that this task is not solved with the use of determined and stochastic models, or differential and integral methods, so the author provides its solution using algorithm elements of programming and correlation methods. The proposed methodology makes it possible to estimate the connection between homogeneous structures of factors, and the impact of the homogeneous structures of factor signs on the effective indexes of individual economies and to define the optimum structure of factors. To that end, it is expedient to develop universal software to identify the factors structure and effective indexes with the maximally possible number of factors in the structure and the range of change of effective indexes as output.

Suggested Citation

  • T. Bondarenko, 2014. "Analysis of the impact of a homogenous structure of factor signs on effective indicator," Economy and Forecasting, Valeriy Heyets, issue 4, pages 122-135.
  • Handle: RePEc:eip:journl:y:2014:i:4:p:122-135

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    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:eip:journl:y:2014:i:4:p:122-135. 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: (Iryna Bazhal). 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.