Beyond panel unit root tests: Using multiple testing to determine the nonstationarity properties of individual series in a panel |
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Authors: | H.R. Moon B. Perron |
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Affiliation: | 1. Department of Economics, University of Southern California, Los Angeles, CA 90089, USA;2. Dépt. de sciences économiques, Université de Montréal, CIREQ and CIRANO, C.P. 6128, Succ. centre-ville, Montréal, Québec, H3C 3J7, Canada;3. Department of Economics, University of Maryland, College Park, MD 20742, USA |
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Abstract: | 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. |
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Keywords: | C32 C33 C44 |
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