新冠肺炎大流行期间当前就业统计调查的季节性调整挑战

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Nicole Hudson, Jeannine Jeannine, J. Kropf
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引用次数: 0

摘要

对于经季节调整的数据,美国劳工统计局(BLS)试图消除由每年的季节周期引起的所有波动。2019年冠状病毒大流行对这一任务构成了挑战,因为它对整个经济的影响很强,并且持续了至少几个月。为确保大流行的影响不被纳入季节性调整因素,当前就业统计方案采取了额外的行动,例如将季节性调整分为两个阶段(大流行前和大流行后),并将其他类型的异常值纳入其模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The challenges of seasonal adjustment for the Current Employment Statistics survey during the COVID-19 pandemic
For its seasonally adjusted data, the Bureau of Labor Statistics (BLS) seeks to remove all fluctuations that are caused by the yearly cycle of seasons. The coronavirus 2019 pandemic posed a challenge to this task, because its effect was strong, across the entire economy, and lasted for at least several months. To ensure that the effects of the pandemic were not being incorporated into the seasonal adjustment factors, the Current Employment Statistics program took additional actions such as splitting the seasonal adjustment into two runs (prepandemic and postpandemic) and incorporating additional types of outliers into its models.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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