EconPapers    
Economics at your fingertips  
 

A residual-based cointegration test for near unit root variables

Erik Hjalmarsson and Pär Österholm

No 907, International Finance Discussion Papers from Board of Governors of the Federal Reserve System (U.S.)

Abstract: Methods of inference based on a unit root assumption in the data are typically not robust to even small deviations from this assumption. In this paper, we propose robust procedures for a residual-based test of cointegration when the data are generated by a near unit root process. A Bonferroni method is used to address the uncertainty regarding the exact degree of persistence in the process. We thus provide a method for valid inference in multivariate near unit root processes where standard cointegration tests may be subject to substantial size distortions and standard OLS inference may lead to spurious results. Empirical illustrations are given by: (i) a re-examination of the Fisher hypothesis, and (ii) a test of the validity of the cointegrating relationship between aggregate consumption, asset holdings, and labor income, which has attracted a great deal of attention in the recent finance literature.

Keywords: Cointegration (search for similar items in EconPapers)
Date: 2007
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.federalreserve.gov/pubs/ifdp/2007/907/default.htm (text/html)
http://www.federalreserve.gov/pubs/ifdp/2007/907/ifdp907.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:fip:fedgif:907

Access Statistics for this paper

More papers in International Finance Discussion Papers from Board of Governors of the Federal Reserve System (U.S.) Contact information at EDIRC.
Bibliographic data for series maintained by Ryan Wolfslayer ; Keisha Fournillier ().

 
Page updated 2025-03-30
Handle: RePEc:fip:fedgif:907