IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Are forecasting models usable for policy analysis?

  • Christopher A. Sims

In this article, Christopher A. Sims argues the answer to his title is yes. Sims explains that any decisionmaking model must incorporate some identifying assumptions to enable it to forecast the effects of alternative decisions. He argues that although all identifying assumptions in econometric policymaking models are of uncertain validity, those incorporated in vector autoregression (VAR) forecasting models have the advantage of allowing their uncertainty to be measured. Sims concludes by demonstrating a method for identifying a small macroeconomic VAR model so that it can be used to analyze monetary policy

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: http://www.minneapolisfed.org/publications_papers/pub_display.cfm?id=186
Download Restriction: no

File URL: http://www.minneapolisfed.org/research/QR/QR1011.pdf
Download Restriction: no

Article provided by Federal Reserve Bank of Minneapolis in its journal Quarterly Review.

Volume (Year): (1986)
Issue (Month): Win ()
Pages: 2-16

as
in new window

Handle: RePEc:fip:fedmqr:y:1986:i:win:p:2-16:n:v.10no.1
Contact details of provider: Postal: 90 Hennepin Avenue, P.O. Box 291, Minneapolis, MN 55480-0291
Phone: (612) 204-5000
Web page: http://minneapolisfed.org/

More information through EDIRC

Order Information: Web: http://www.minneapolisfed.org/pubs/ Email:


No references listed on IDEAS
You can help add them by filling out this form.

This item is featured on the following reading lists or Wikipedia pages:

  1. Quantitative Macroeconomics and Real Business Cycles (QM&RBC)

When requesting a correction, please mention this item's handle: RePEc:fip:fedmqr:y:1986:i:win:p:2-16:n:v.10no.1. 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: (Janelle Ruswick)

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.