Multivariate Unit Root Tests and Testing for Convergence
Multivariate Unit Root Tests and Testing for Convergence
复制标题
多元单位根检验和收敛性检验
DOI:
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发表时间:
2003
期刊:
影响因子:
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通讯作者:
R. Bates
中科院分区:
文献类型:
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作者:
A. Harvey;R. Bates
We examine the properties of a multivariate Dickey-Fuller t-statistic designed to test for a unit root in a panel while taking account of cross-sectional dependence. The asymptotic distribution is presented and critical values provided. When intercepts are present, a modification along the lines of Elliot, Rothenberg and Stock (1996) can be implemented. The tests have invariance properties and can be carried out even if the number of series exceeds the number of time periods. Non-zero initial conditions actually boost the power of the (unmodified) Dickey-Fuller tests confirming that they are useful for testing the hypothesis that the series are in the process of converging. Typical applications are for a moderate number of series observed over a reasonably long period of time. The example given is for the per capital incomes of six US regions observed annually from 1950 to 1999.
DOI:
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发表时间:
2004
期刊:
Journal of Clinical Pathology 57・9
影响因子:
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作者:
Saito T;Oda Y;Tamiya S;et al.;Nakayama H
通讯作者:
Nakayama H