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A multivariate innovations state space Beveridge Nelson decomposition Author info | Abstract | Publisher info | Download info | Related research | Statistics de Silva, Ashton
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The Beveridge Nelson vector innovation structural time series framework is new formu- lation that decomposes a set of variables into their permanent and temporary components. The framework models inter-series relationships and common features in a simple man- ner. In particular, it is shown that this new speci¯cation is more simple than conventional state space and cointegration approaches. The approach is illustrated using a trivariate data set comprising the GD(N)P of Australia, America and the UK.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
5431.
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Date of creation: Oct 2007Date of revision:
Handle: RePEc:pra:mprapa:5431Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany Phone: +49-(0)89-2180-2219 Fax: +49-(0)89-2180-3900 Web page: http://mpra.ub.uni-muenchen.de More information through EDIRC
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Keywords: vector innovation structural time series multivariate time series Bev- eridge Nelson common components. Other versions of this item:
Find related papers by JEL classification: E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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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.: Vahid, Farshid & Engle, Robert F., 1997.
"Codependent cycles ,"
Journal of Econometrics ,
Elsevier, vol. 80(2), pages 199-221, October.
[Downloadable!] (restricted)
Vahid, F & Engle, Robert F, 1993.
"Common Trends and Common Cycles ,"
Journal of Applied Econometrics ,
John Wiley & Sons, Ltd., vol. 8(4), pages 341-60, Oct.-Dec..
[Downloadable!] (restricted)
Other versions: Francisco Barillas & Christoph Schleicher, 2003.
"Common Trends and Common Cycles in Canadian Sectoral Output ,"
Working Papers
03-44, Bank of Canada.
[Downloadable!]
Other versions: James C. Morley & Charles R. Nelson & Eric Zivot, 2003.
"Why Are the Beveridge-Nelson and Unobserved-Components Decompositions of GDP So Different? ,"
The Review of Economics and Statistics ,
MIT Press, vol. 85(2), pages 235-243, 03.
[Downloadable!] (restricted)
Charles Nelson & Eric Zivot, 2000.
"Why are Beveridge-Nelson and Unobserved-Component Decompositions of GDP so Different? ,"
Econometric Society World Congress 2000 Contributed Papers
0692, Econometric Society.
[Downloadable!]
Tommaso Proietti, 2002.
"Some Reflections on Trend-Cycle Decompositions with Correlated Components ,"
Econometrics
0209002, EconWPA.
[Downloadable!]
Other versions: James Morley & Charles Nelson & Eric Zivot, 2003.
"Why are Beveridge-Nelson and Unobserved-component decompositions of GDP so Different? ,"
Working Papers
UWEC-2002-18-P, University of Washington, Department of Economics.
Anderson, Heather M. & Low, Chin Nam & Snyder, Ralph, 2006.
"Single source of error state space approach to the Beveridge Nelson decomposition ,"
Economics Letters ,
Elsevier, vol. 91(1), pages 104-109, April.
[Downloadable!] (restricted)
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