IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-1-4614-3597-6_14.html
   My bibliography  Save this book chapter

A New Macroeconomic Forecasting and Policy Evaluation Method

In: Models, Methods, Concepts & Applications of the Analytic Hierarchy Process

Author

Listed:
  • Thomas L. Saaty

    (University of Pittsburgh)

  • Luis G. Vargas

    (University of Pittsburgh)

Abstract

The economy is often faced with a turn that is not to our liking, and we sometimes think it ought to be controllable by macroeconomic policy. While the spectrum of policies ranges from Keynesian “fine tuning” to using monetarist “rules,” every action (or inaction) of the government is a policy. Because of this it is important that government policy makers be guided by appropriate empirical models. Unfortunately, there is considerable variation in the large numbers of econometric models that have been developed thus far. Moreover, there are persistent problems, both technical and theoretical, with these models.

Suggested Citation

  • Thomas L. Saaty & Luis G. Vargas, 2012. "A New Macroeconomic Forecasting and Policy Evaluation Method," International Series in Operations Research & Management Science, in: Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, edition 2, chapter 0, pages 187-201, Springer.
  • Handle: RePEc:spr:isochp:978-1-4614-3597-6_14
    DOI: 10.1007/978-1-4614-3597-6_14
    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.

    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:spr:isochp:978-1-4614-3597-6_14. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.