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Testing for a Unit Root in Panels with Dynamic Factors Author info | Abstract | Publisher info | Download info | Related research | Statistics Moon, H.R.
Perron, B.
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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.
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Paper provided by Centre interuniversitaire de recherche en économie quantitative, CIREQ in its series Cahiers de recherche with number
18-2002.
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Length: 57 pages
Date of creation: 2002Date of revision:
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Keywords: Unit roots ; panel data ; factor models ; Other versions of this item:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: O'Connell, Paul G. J., 1998.
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University of California at Santa Barbara, Economics Working Paper Series
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"Testing for a Unit Root in Panels with Dynamic Factors ,"
Cahiers de recherche
2002-18, Universite de Montreal, Departement de sciences economiques.
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Other versions:
Moon, H.R. & Perron, B., 2002.
"Testing for a Unit Root in Panels with Dynamic Factors ,"
Cahiers de recherche
18-2002, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
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