Advanced Search
MyIDEAS: Login to save this paper or follow this series

Estimating a NKBC Model for the U.S. Economy with Multiple Filters

Contents:

Author Info

  • Efrem Castelnuovo

    ()
    (University of Padua)

Abstract

This paper estimates a new-Keynesian DSGE model of the U.S. business cycle by employing a variety of business cycle proxies, either one-by-one or, following a recent proposal by Canova and Ferroni (2009), in a joint fashion. Objects such as posterior densities, impulse-response functions, and forecast error variance decompositions are shown to be remarkably sensitive to different filtering. This uncertainty notwithstanding, shocks to trend inflation are given robust support as the main inflation driver in the post-WWII era.

Download Info

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://economia.unipd.it/sites/decon.unipd.it/files/20090102.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Dipartimento di Scienze Economiche "Marco Fanno" in its series "Marco Fanno" Working Papers with number 0102.

as in new window
Length: 36 pages
Date of creation: Nov 2009
Date of revision:
Handle: RePEc:pad:wpaper:0102

Contact details of provider:
Postal: via del Santo, 33 - 35122 Padova
Phone: +39 +49 8274210
Fax: +39 +49 827.4211
Web page: http://www.decon.unipd.it/
More information through EDIRC

Related research

Keywords:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

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

Citations

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:pad:wpaper:0102. 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: (Fabio Maria Manenti).

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.