A Robust Panel Unit Root Test in the Presence of Cross Sectional Dependence
نویسندگان
چکیده
منابع مشابه
A panel unit root test in the presence of cross-section dependence
A panel unit root test is derived based on a Lagrangian Multiplier for panels with a cross-section dependence modeled using factor models. The test statistic is shown to be different from square of test statistic of Pesaran (2007) even for a case of no constant and no trend, hence the test statistic is not simply a different calculation of the suggestion made in Pesaran (2007). Implementation o...
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A number of panel unit root tests that allow for cross section dependence have been proposed in the literature that use orthogonalization type procedures to asymptotically eliminate the cross dependence of the series before standard panel unit root tests are applied to the transformed series. In this paper we propose a simple alternative where the standard ADF regressions are augmented with the...
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We propose a nonlinear heterogeneous panel unit root test for testing the null hypothesis of unit-root processes against the alternative that allows a proportion of units to be generated by globally stationary ESTAR processes and a remaining non-zero proportion to be generated by unit root processes. The proposed test is simple to apply and accommodates cross section dependence. Monte Carlo sim...
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In this paper alternative approaches for testing the unit root hypothesis in panel data are considered. First, a robust version of the Dickey-Fuller t-statistic under contemporaneous correlated errors is suggested. Second, the GLS t-statistic is considered, which is based on the t-statistic of the transformed model. The asymptotic power of both tests against a sequence of local alternatives is ...
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The increasing availability of new datasets where the time-series dimension and the cross-section dimension are of the same order of magnitude asks for new techniques for the analysis of this peculiar kind of data. In the panel unit root test framework, two generations of tests have been developed: a first generation whose main limit is the assumption of cross-sectional independence across unit...
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ژورنال
عنوان ژورنال: Journal of Modern Applied Statistical Methods
سال: 2015
ISSN: 1538-9472
DOI: 10.22237/jmasm/1446351180