This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Long Run Recursive VAR Models and QR Decompositions

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Hoffmann, M.

Additional information is available for the following registered author(s):

Abstract

Long-run recursive identification schemes are very popular in the structural VAR literature. This note suggests a two-step procedure based on QR decompositions as a solution algorithm for this type of identification problem. Our procedure will always deliver the exact solution and it is much easier to implement than a Newton-type iteration algorithm. It may therefore be very useful whenever quick and precise solutions of a long-run recursive schemes are required, e.g. in bootstrapping confidence intervals for impulse responses.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" 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.

Publisher Info
Paper provided by Economics Division, School of Social Sciences, University of Southampton in its series Discussion Paper Series In Economics And Econometrics with number 0015.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: 01 Jan 2000
Date of revision:
Handle: RePEc:stn:sotoec:0015

Contact details of provider:
Postal: Highfield, Southampton SO17 1BJ
Phone: (+44) 23 80592537
Fax: (+44) 23 80593858
Email:
Web page: http://www.economics.soton.ac.uk/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Chris Thorn).

Related research
Keywords:

Other versions of this item:

Cited by:
(explanations, 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.)
  1. Jaromír Beneš & David Vávra, 2005. "Eigenvalue filtering in VAR models with application to the Czech business cycle," Working Paper Series 549, European Central Bank. [Downloadable!]
  2. Hamburg, Britta & Hoffmann, Mathias & Keller, Joachim, 2005. "Consumption, wealth and business cycles : why is Germany different?," Discussion Paper Series 1: Economic Studies 2005,16, Deutsche Bundesbank, Research Centre. [Downloadable!]
  3. Britta Hamburg & Mathias Hoffmann & Joachim Keller, 2005. "Consumption, Wealth and Business Cycles in Germany," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
  4. Mathias Hoffmann, 2006. "Proprietary Income, Entrepreneurial Risk, and the Predictability of U.S. Stock Returns," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
    Other versions:
  5. Jaromir Benes & David Vavra, 2004. "Eigenvalue Decomposition of Time Series with Application to the Czech Business Cycle," Working Papers 2004/08, Czech National Bank, Research Department. [Downloadable!]
Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by encouraging others to register as authors.

This page was last updated on 2008-8-4.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.