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分类依据与纠错

AI 根据所提供的论文材料归类:摘要围绕高持续性序列、局部单位根极限与单位根检验展开,直接属于时间序列。

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关注这篇论文的作者
Anna Bykhovskaya
James A. Duffy

局部趋于单位根的动态 Tobit 模型

研究问题
对于受到删失或偶尔生效约束的高持续性时间序列,如何刻画局部趋于单位根的动态,并进行持续性和单位根推断?
方法与思路
作者研究动态 Tobit 的非标准弱极限及 OLS 估计,构造基于 OLS 的持续性推断和单位根检验,并结合模拟与汇率应用。
材料陈述的贡献
摘要称,删失下参数的 OLS 估计仍一致;模拟中传统 ADF 检验过度拒绝,而所提检验保持正确水平,并用于受下界约束的汇率。
阅读关注点
应核对局部单位根与删失机制的设定、OLS 一致性的条件、受约束极限过程及临界值构造,以及汇率下界应用的适用性。
阅读边界
仅依据所给 RePEc 出版社摘要;参数条件、检验临界值及应用结论未说明,不能将 OLS 一致性推广至所有删失动态模型。

原文摘要

This paper considers highly persistent time series that are subject to nonlinearities in the form of censoring or an occasionally binding constraint, such as are regularly encountered in macroeconomics. A tractable candidate model for such series is the dynamic Tobit with a root local to unity. We show that this model generates a process that converges weakly to a non-standard limiting process, that is constrained (regulated) to be positive. Surprisingly, despite the presence of censoring, the OLS estimators of the model parameters are consistent. We show that this allows OLS-based inferences to be drawn on the overall persistence of the process (as measured by the sum of the autoregressive coefficients), and for the null of a unit root to be tested in the presence of censoring. Our simulations illustrate that the conventional ADF test substantially over-rejects when the data is generated by a dynamic Tobit with a unit root, whereas our proposed test is correctly sized. We provide an application of our methods to testing for a unit root in the Swiss franc/euro exchange rate, during a period when this was subject to an occasionally binding lower bound.

笔记与分组
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