Advanced Search
MyIDEAS: Login to save this article or follow this journal

Dynamic factor models: A review of the literature

Contents:

Author Info

  • Karim Barhoumi
  • Olivier Darné
  • Laurent Ferrara

    ()

Abstract

In the last few years, the growth in the amount of economic and financial data available has prompted econometricians to develop or adapt new methods enabling them to summarise efficiently the information contained in large databases. Of these methods, dynamic factor models have seen rapid growth and become very popular among macroeconomists. In this paper, we carry out a survey of recent literature on dynamic factor models. We start by presenting the models used before looking at parameter estimation methods and statistical tests available for choosing the number of factors. We then focus on recent empirical applications dealing with the construction of economic outlook indicators, macroeconomic forecasts, and both macroeconomic and monetary policy analyses.

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://dx.doi.org/10.1787/jbcma-2013-5jz417f7b7nv
Download Restriction: Full text available to READ online. PDF download available to OECD iLibrary subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by OECD Publishing,CIRET in its journal OECD Journal: Journal of Business Cycle Measurement and Analysis.

Volume (Year): 2013 (2013)
Issue (Month): 2 ()
Pages: 73-107

as in new window
Handle: RePEc:oec:stdkab:5jz417f7b7nv

Contact details of provider:
Postal: 2 rue Andre Pascal, 75775 Paris Cedex 16
Phone: 33-(0)-1-45 24 82 00
Fax: 33-(0)-1-45 24 85 00
Email:
Web page: http://www.oecd.org
More information through EDIRC

Order Information:
Web: http://www.oecd.org/bookshop?19952899

Related research

Keywords: Dynamic factor models; estimation; tests for the number of factors; macroeconomic applications;

Other versions of this item:

Find related papers by JEL classification:

References

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

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," SFB 649 Discussion Papers SFB649DP2014-004, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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:oec:stdkab:5jz417f7b7nv. 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: ().

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.