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本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。

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分类依据与纠错

AI 根据所提供的论文材料归类:摘要直接讨论经济时间序列的季节成分分解、季节调整方法及其评价准则,因此归入时间序列方向。

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代码、数据与补充材料

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关注这篇论文的作者
William R Bell
Steven C Hillmer

经济时间序列季节调整涉及的问题

研究问题
经济时间序列为什么需要季节调整,应如何界定季节与非季节成分,以及用什么标准判断调整方法是否与观测数据相容?
方法与思路
作者先回顾季节调整与时间序列分析的历史,再讨论调整理由、成分定义与评价准则,并用一个例子说明基于观测信息的评价思路。
材料陈述的贡献
摘要称作者提出一种可能的新调整理由及成分定义,并主张依据方法与观测信息的一致性评价季节调整,质疑只比较估计成分的经验准则。
阅读关注点
阅读时应核对季节与非季节成分的正式定义、新调整理由的适用情形,以及“与观测信息一致”如何转化为可实施的评价准则。
阅读边界
摘要以作者观点和概念讨论为主,未说明评价准则的完整形式或广泛验证结果;不能据此判断某种调整方法在各类序列上更好。

原文摘要

In the first part of this article, we briefly review the history of seasonal adjustment and statistical time series analysis in order to understand why seasonal adjustment methods have evolved into their present form. This review provides insight into some of the problems that must be addressed by seasonal adjustment procedures and points out that advances in modern time series analysis raise the question of whether seasonal adjustment should be performed at all. This in turn leads to a discussion in the second part of issues involved in seasonal adjustment. We state our opinions about the issues raised and review some of the work of other authors. First, we comment on reasons that have been given for doing seasonal adjustment and suggest a new possible justification. We then emphasize the need to define precisely the seasonal and nonseasonal components and offer our definitions. Finally, we discuss criteria for evaluating seasonal adjustments. We contend that proposed criteria based on empirical comparisons of estimated components are of little value and suggest that seasonal adjustment methods should be evaluated based on whether they are consistent with the information in the observed data. This idea is illustrated with an example.

笔记与分组