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Spurious Relationships for Nearly Non-Stationary Series

机译:对几乎非静止系列的虚假关系

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Literature shows that the regression of independent and (nearly) nonstationary time series could result in spurious outcomes. In this paper, we conjecture that under some situations, the regression of two independent and nearly non-stationary series does not have any spurious problem at all. To check whether our conjecture holds, we set up several situations and conduct simulations to justify our conjecture. Our simulations show that under some situations, the chance that the regressions being spurious is very high for all the cases simulated in our paper. Nonetheless, under some other situations, our simulation shows that the rejection rates are much smaller than the 5% level of significance for all the cases simulated in our paper, implying that our conjecture could hold under some situations that regression of two independent and nearly non-stationary series does not have any spurious problem at all.
机译:文献表明,独立和(几乎)非间抗时间序列的回归可能导致杂散的结果。 在本文中,我们猜测,在某些情况下,两个独立和几乎非静止系列的回归根本没有任何虚假问题。 要检查我们的猜想是否持有,我们建立了几种情况并进行了仿真,以证明我们的猜想。 我们的模拟表明,在某些情况下,对于我们纸上模拟的所有案例,杂散的回归是非常高的。 尽管如此,在一些其他情况下,我们的模拟表明,拒绝率远小于我们纸上模拟的所有案例的5%的重要性,这意味着我们的猜想可以在两个独立和几乎非非 - 舞台系列根本没有任何虚假问题。

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