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A robust sign test for panel unit roots under cross sectional dependence

Title
A robust sign test for panel unit roots under cross sectional dependence
Authors
Shin D.W.Park S.J.Oh M.-S.
Ewha Authors
오만숙신동완
SCOPUS Author ID
오만숙scopus; 신동완scopus
Issue Date
2009
Journal Title
Computational Statistics and Data Analysis
ISSN
0167-9473JCR Link
Citation
vol. 53, no. 4, pp. 1312 - 1327
Indexed
SCIE; SCOPUS WOS scopus
Abstract
A robust sign test is proposed for testing unit roots in cross-sectionally dependent panel data. Large sample Gaussian null asymptotics of the test are established under (fixed N, large T) and, for serially uncorrelated error cases, under (large N, fixed T), where N is the number of panel units and T is the length of time span. The limiting null distribution is valid, even if the error processes are subject to any type of conditional heteroscedasticity. A Monte-Carlo experiment reveals that, compared with other existing tests, the proposed test has a very stable size property for wider classes of error distributions, type of conditional heteroscedasticities, type of cross-sectional correlations, and values of (N, T) while having reasonable power. Especially, for small T like T = 5, 10, 20, the proposed test shows much stabler size performance than other existing tests. The unemployment rates of the 51 states of the USA are analyzed by the proposed method, which reveals some evidence for unit roots in the presence of factor and spatial cross-section correlation. © 2009.
DOI
10.1016/j.csda.2008.11.020
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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