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Rethinking the Univariate Approach to Panel Unit Root Testing: Usingn Covariates to Resolve the Incidental Trend Problem

机译:重新思考面板单元根检验的单变量方法:使用协变量解决偶然趋势问题

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In an influential article, Hansen showed that covariate augmentation can lead to substantial power gains when compared to univariate tests. In this article, we ask if this result extends also to the panel data context? The answer turns out to be yes, which is maybe not that surprising. What is surprising, however, is the extent of the power gain, which is shown to more than outweigh the well-known power loss in the presence of incidental trends. That is, the covariates have an order effect on th
机译:汉森(Hansen)在一篇有影响力的文章中表明,与单变量检验相比,协变量增强可以导致大量的功率增益。在本文中,我们问这个结果是否也扩展到面板数据上下文?答案是肯定的,这也许并不奇怪。然而,令人惊讶的是,功率增益的程度超过了众所周知的偶然趋势下的功率损耗。也就是说,协变量对

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