Testing for a Unit Root in Panels with Dynamic Factors
Hyungsik Moon () and
Benoit Perron ()
Cahiers de recherche from Universite de Montreal, Departement de sciences economiques
This paper studies testing for a unit root for large n and T panels in which the cross-sectional units are correlated. To model this cross-sectional correlation, we assume that the data is generated by an unknown number of unobservable common factors. We propose unit root tests in this environment and derive their (Gaussian) asymptotic distribution under the null hypothesis of a unit root and local alternatives. We show that these tests have significant asymptotic power when the model has no incidental trends. However, when there are incidental trends in the model and it is necessary to remove heterogeneous deterministic components, we show that these tests have no power against the same local alternatives. Through Monte Carlo simulations, we provide evidence on the finite sample properties of these new tests.
Keywords: unit roots; nel data; factor models (search for similar items in EconPapers)
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Journal Article: Testing for a unit root in panels with dynamic factors (2004)
Working Paper: TESTING FOR A UNIT ROOT IN PANELS WITH DYNAMIC FACTORS (2002)
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Persistent link: https://EconPapers.repec.org/RePEc:mtl:montde:2002-18
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