An information-theoretic extension to structural VAR modelling
Nikolaus A Siegfried
Quantitative Macroeconomics Working Papers from Hamburg University, Department of Economics
Abstract:
This paper discusses techniques for estimating structural vector autoregressions. Especially when monetary policy shocks are estimated, VAR residuals turn out to be leptokurtic. It is argued that this is no coincidence but follows directly from the properties of monetary policy decisions. The paper proceeds to suggest an independent components estimator (ICE) that works well with leptokurtic residuals. Furthermore, the ICE permits a closer link between theory and estimation because it avoids informal imposition of zero restrictions. Using the exercises by Blanchard & Quah (1989) and Christiano, Eichenbaum & Evans (1999), the new estimator is demonstrated and contrasted with current modelling techniques.
Keywords: Keywords: Structural Vector Autoregressions; Information Theory; Monetary Transmission Mechanism (search for similar items in EconPapers)
JEL-codes: C13 C32 E51 (search for similar items in EconPapers)
Pages: 37 pages
Date: 2002-03
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.rrz.uni-hamburg.de/wst/qmwps/icepap.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.rrz.uni-hamburg.de/wst/qmwps/icepap.pdf [302 Found]--> https://www.rrz.uni-hamburg.de/wst/qmwps/icepap.pdf)
Related works:
Working Paper: An information-theoretic extension to structural VAR modelling (2002) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ham:qmwops:20203
Access Statistics for this paper
More papers in Quantitative Macroeconomics Working Papers from Hamburg University, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by ().