Most panel unit root tests are designed to test the joint null hypothesis of a unit root for each individual series in a panel. After a rejection, it will often be of interest to identify which series can be deemed to be stationary and which series can be deemed nonstationary. Researchers will sometimes carry out this classification on the basis of n individual (univariate) unit root tests based on some ad hoc significance level. In this paper, we suggest and demonstrate how to use the false discovery rate (FDR) in evaluating I(1)I(0) classifications.
Bibliographical noteFunding Information:
The first author gratefully acknowledges financial support from the faculty development award of USC and the National Science Foundation . The second author gratefully acknowledges financial support from FQRSC , SSHRC , and MITACS .
All Science Journal Classification (ASJC) codes
- Economics and Econometrics