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首页> 外文期刊>Journal of Econometrics >The Strength of Evidence for Unit Autoregressive Roots and Structural Breaks: A Bayesian Perspective.
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The Strength of Evidence for Unit Autoregressive Roots and Structural Breaks: A Bayesian Perspective.

机译:单位自回归根和结构破坏的证据强度:贝叶斯观点。

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摘要

Economic time series may be generated by a process with a unit autoregressive root, and the generating process may exhibit an abrupt break in trend. It is well known that the outcomes of classical tests for either one of these phenomena can be seriously influenced when the presence of the other is ignored. Therefore, care is required in disentangling evidence in the data supporting the two phenomena, and there is some question as to the extent to which such disentanglement is feasible. We approach this question from a Bayesian perspective, assessing the impact on the strength of evidence for each of the phenomena in the presence of the other.
机译:经济时间序列可以由具有单位自回归根的过程生成,并且生成过程可能会呈现出突然的趋势中断。众所周知,当忽略另一种现象的存在时,针对其中一种现象的经典测试结果会受到严重影响。因此,在解开支持这两种现象的数据中的证据时需要格外小心,并且对于这种解开的可行程度存在一些疑问。我们从贝叶斯的角度处理这个问题,评估在存在另一个现象的情况下每种现象对证据强度的影响。

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