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Long run recursive VAR models and QR decompositions


Hoffmann, Mathias (2001). Long run recursive VAR models and QR decompositions. Economics Letters, 73(1):15-20.

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 scheme are required, e.g. in bootstrapping confidence intervals for impulse responses.

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 scheme are required, e.g. in bootstrapping confidence intervals for impulse responses.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Economics
Dewey Decimal Classification:330 Economics
Scopus Subject Areas:Social Sciences & Humanities > Finance
Social Sciences & Humanities > Economics and Econometrics
Language:English
Date:2001
Deposited On:11 Feb 2008 12:29
Last Modified:01 Nov 2022 08:14
Publisher:Elsevier
ISSN:0165-1765
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/S0165-1765(01)00457-8
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