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The asymptotic distribution of the CADF unit root test in the presence of heterogeneous AR() errors

机译:存在异类AR()错误时CADF单位根检验的渐近分布

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摘要

The CADF test of Pesaran (J Appl Econ 22:265-312, 2007) are among the most popular univariate tests for cross-section correlated panels around. Yet, the existing asymptotic analysis of this test statistic is limited to a model in which the errors are assumed to follow a simple AR(1) structure with homogenous autoregressive coefficients. One reason for this is that the model involves an intricate identification issue, as both the serial and cross-section correlation structures of the errors are unobserved. The purpose of the current paper is to tackle this issue and in so doing extend the existing analysis to the case of AR() errors with possibly heterogeneous coefficients.
机译:Pesaran的CADF检验(J Appl Econ 22:265-312,2007)是针对周围横截面相关面板的最受欢迎的单变量检验。但是,该测试统计量的现有渐近分析仅限于一个模型,在该模型中,假定误差遵循具有均匀自回归系数的简单AR(1)结构。原因之一是该模型涉及一个复杂的标识问题,因为没有观察到误差的序列和截面相关结构。本文的目的是解决这个问题,并以此将现有分析扩展到可能具有异类系数的AR()错误的情况。

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