An intersection test for the cointegrating rank in dependent panel data

Research output: Working paperWorking papers


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 cross-sectional 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.
Original languageEnglish
Place of PublicationLüneburg
PublisherInstitut für Volkswirtschaftslehre der Universität Lüneburg
Number of pages18
Publication statusPublished - 03.2016

    Research areas

  • Economics - panel cointegration rank test, cross-sectional dependence, multiple testing, common factors, likelihood-ratio