An intersection test for the cointegrating rank in dependent panel data

Antonia Arsova () and Deniz Karaman Örsal
Additional contact information
Antonia Arsova: Leuphana University Lueneburg, Germany

No 357, Working Paper Series in Economics from University of Lüneburg, Institute of Economics

Abstract: This paper takes a multiple testing perspective on the problem of determining the cointegrating rank in macroeconometric panel data with cross-sectional dependence. The testing procedure for a common rank among the panel units is based on Simes’ (1986) intersection test and requires only the p-values of suitable individual test statistics. A Monte Carlo study demonstrates that this simple test is robust to crosssectional dependence and has reasonable size and power properties. A multivariate version of Kendall’s tau is used to test an important assumption underlying Simes’ procedure for dependent statistics. The method is illustrated by testing the validity of the monetary exchange rate model for 8 OECD countries in the post-Bretton Woods era.

Keywords: panel cointegration rank test; cross-sectional dependence; multiple testing; common factors; likelihood-ratio (search for similar items in EconPapers)
JEL-codes: C12 C15 C33 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2016-03
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:

Downloads: (external link)
https://www.leuphana.de/fileadmin/user_upload/Fors ... df/wp_357_Upload.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:lue:wpaper:357

Access Statistics for this paper

More papers in Working Paper Series in Economics from University of Lüneburg, Institute of Economics
Bibliographic data for series maintained by Joachim Wagner ( this e-mail address is bad, please contact ).