Advanced Search
MyIDEAS: Login

Factor Analysis of a Large DSGE Model

Contents:

Author Info

  • Alexei Onatski

    () (Faculty of Economics, University of Cambridge)

  • Francisco J. Ruge-Murcia

    () (Department of Economics, University of Montréal; The Rimini Centre for Economic Analysis (RCEA))

Abstract

We study the workings of the factor analysis of high-dimensional data using arti cial series generated from a large, multi-sector dynamic stochastic general equilibrium (DSGE) model. The objective is to use the DSGE model as a laboratory that allow us to shed some light on the practical bene ts and limitations of using factor analysis techniques on economic data. We explain in what sense the arti cial data can be thought of having a factor structure, study the theoretical and fi nite sample properties of the principal components estimates of the factor space, investigate the substantive reason(s) for the good performance of diffusion index forecasts, and assess the quality of the factor analysis of highly dissagregated data. In all our exercises, we explain the precise relationship between the factors and the basic macroeconomic shocks postulated by the model.

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://www.rcfea.org/RePEc/pdf/wp50_10.pdf
Download Restriction: no

Bibliographic Info

Paper provided by The Rimini Centre for Economic Analysis in its series Working Paper Series with number 50_10.

as in new window
Length:
Date of creation: Jan 2010
Date of revision:
Handle: RePEc:rim:rimwps:50_10

Contact details of provider:
Postal: Via Patara, 3, 47921 Rimini (RN)
Phone: +390541434142
Fax: +39054155431
Email:
Web page: http://www.rcfea.org
More information through EDIRC

Related research

Keywords: Multisector economies; principal components; forecasting; pervasiveness; FAVAR;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez & Thomas J. Sargent, 2005. "A, B, C’s (And D’s) For Understanding VARS," PIER Working Paper Archive 05-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
Full references (including those not matched with items on IDEAS)

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:rim:rimwps:50_10

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Roberto Patuelli).

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.