EconPapers    
Economics at your fingertips  
 

Eigenvalue filtering in VAR models with application to the Czech business cycle

Beneš, Jaromí­r and David Vavra

No 549, Working Paper Series from European Central Bank

Abstract: We propose the method of eigenvalue filtering as a new tool to extract time series subcomponents (such as business-cycle or irregular) defined by properties of the underlying eigenvalues. We logically extend the Beveridge-Nelson decomposition of the VAR time-series models focusing on the transient component. We introduce the canonical state-space representation of the VAR models to facilitate this type of analysis. We illustrate the eigenvalue filtering by examining a stylized model of inflation determination estimated on the Czech data.We characterize the estimated components of CPI, WPI and import inflations, together with the real production wage and real output, survey their basic properties, and impose an identification scheme to calculate the structural innovations. We test the results in a simple bootstrap simulation experiment. We find two major areas for further research: first, verifying and improving the robustness of the method, and second, exploring the method's potential for empirical validation of structural economic models. JEL Classification: C32, E32

Keywords: Beveridge-Nelson decomposition; business cycle; eigenvalues; filtering; inflation; time series analysis (search for similar items in EconPapers)
Date: 2005-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.ecb.europa.eu//pub/pdf/scpwps/ecbwp549.pdf (application/pdf)

Related works:
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:ecb:ecbwps:2005549

Access Statistics for this paper

More papers in Working Paper Series from European Central Bank 60640 Frankfurt am Main, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Official Publications ().

 
Page updated 2025-03-19
Handle: RePEc:ecb:ecbwps:2005549