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Consistency of Trend Break Point Estimator with Underspecified Break Number

机译:断裂数未指定的趋势断裂点估计器的一致性

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This paper discusses the consistency of trend break point estimators when the number of breaks is underspecified. The consistency of break point estimators in a simple location model with level shifts has been well documented by researchers under various settings, including extensions such as allowing a time trend in the model. Despite the consistency of break point estimators of level shifts, there are few papers on the consistency of trend shift break point estimators in the presence of an underspecified break number. The simulation study and asymptotic analysis in this paper show that the trend shift break point estimator does not converge to the true break points when the break number is underspecified. In the case of two trend shifts, the inconsistency problem worsens if the magnitudes of the breaks are similar and the breaks are either both positive or both negative. The limiting distribution for the trend break point estimator is developed and closely approximates the finite sample performance.
机译:本文讨论了中断次数未指定时趋势中断点估计器的一致性。研究人员在各种设置下,包括在扩展中(例如允许模型中的时间趋势),都很好地证明了具有水平移动的简单位置模型中的断点估计量的一致性。尽管水平偏移的断点估计量具有一致性,但是在中断数未指定的情况下,关于趋势转移断点估计量的一致性的论文很少。本文的仿真研究和渐近分析表明,当未指定中断数时,趋势转移中断点估计器不会收敛到真实的中断点。在两个趋势转移的情况下,如果中断的幅度相似并且中断都为正或均为负,则不一致问题会恶化。建立了趋势断裂点估计器的极限分布,并非常接近有限样本的性能。

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