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Bootstrap Unit Root Tests in Panels with Cross-Sectional Dependency Author info | Abstract | Publisher info | Download info | Related research | Statistics Yoosoon Chang (Rice University)
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We apply bootstrap methodology to unit root tests for dependent panels with N cross-sectional units and T time series observations. More specifically, we let each panel be driven by a general linear process which may be different across cross-sectional units, and approximate it by a finite order autoregressive integrated process of order increasing with T. As we allow the dependency among the innovations generating the individual panels, we construct our unit root tests from the estimation of the system of the entire N panels. The limit distributions of the tests are derived by passing T to infinity, with N fixed. We then apply the bootstrap method to the approximated autoregressions to obtain the critical values for the panel unit root tests, and establish the asymptotic validity of such bootstrap panel unit root tests under general conditions. The proposed bootstrap tests are indeed quite general covering a wide class of panel models. They in particular allow for very general dynamic structures which may vary across individual units, and more importantly for the presence of arbitrary cross-sectional dependency. The finite sample performance of the bootstrap tests is examined via simulations, and compared to that of the t-bar statistics by Im, Pesaran and Shin (1997), which is one of the commonly used unit root tests for panel data. We find that our bootstrap panel unit root tests perform well relative to the t-bar statistics.
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Paper provided by Econometric Society in its series Econometric Society World Congress 2000 Contributed Papers with number
1585.
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Date of creation: 01 Aug 2000Date of revision:
Handle: RePEc:ecm:wc2000:1585Contact details of provider: Phone: 1 212 998 3820 Fax: 1 212 995 4487 Email: Web page: http://www.econometricsociety.org/pastmeetings.asp More information through EDIRC
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"Panel Unit Root Tests in the Presence of Cross-Sectional Dependency and Heterogeneity ,"
10th International Conference on Panel Data, Berlin, July 5-6, 2002
B5-2, International Conferences on Panel Data.
[Downloadable!]
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