Single Source of Error State Space Approach to the Beveridge Nelson Decomposition
Chin Nam Low,
Heather Anderson and
Ralph Snyder ()
No 242, Econometric Society 2004 Australasian Meetings from Econometric Society
Abstract:
The use of the Beveridge Nelson decomposition in macroeconomic analysis involves the truncation and estimation of infinite weighted sums of random variables, whereas the single source of error (SSE) state space approach provides a simple and effective framework that leads to exactly the same decomposition. Thus, although the (SSE) approach was originally developed as a forecasting tool, it can also be used as a macroeconomic tool, providing a straightforward decomposition of the series into trend and cyclical components, and simplifying the calculation of the relative importance of permanent and temporary shocks.
Keywords: Single Source of Error; Beveridge Nelson Decomposition; State-space (search for similar items in EconPapers)
JEL-codes: C22 C51 E32 (search for similar items in EconPapers)
Date: 2004-08-11
New Economics Papers: this item is included in nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://repec.org/esAUSM04/up.15603.1077856487.pdf (application/pdf)
Related works:
Journal Article: Single source of error state space approach to the Beveridge Nelson decomposition (2006) 
Working Paper: Single source of error state space approach to the Beveridge Nelson decomposition (2005) 
Working Paper: Single Source of Error State Space Approach to the Beveridge Nelson Decomposition (2004) 
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:ecm:ausm04:242
Access Statistics for this paper
More papers in Econometric Society 2004 Australasian Meetings from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().