Cross-sectional correlation robust tests for panel cointegration
Journal of Applied Statistics, 2009, vol. 36, issue 7, 817-833
We use meta-analytic procedures to develop new tests for panel cointegration, combining p-values from time-series cointegration tests on the units of the panel. The tests are robust to heterogeneity and cross-sectional dependence between the panel units. To achieve the latter, we employ a sieve bootstrap procedure with joint resampling of the units' residuals. A simulation study shows that the tests can have substantially smaller size distortion than tests ignoring the presence of cross-sectional dependence while preserving high power. We apply the tests to a panel of post-Bretton Woods data to test for weak purchasing power parity.
Keywords: panel cointegration tests; cross-sectional dependence; sieve bootstrap (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (8) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:36:y:2009:i:7:p:817-833
Ordering information: This journal article can be ordered from
Access Statistics for this article
Journal of Applied Statistics is currently edited by Robert Aykroyd
More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().