大流行病期间重新设计导致挪威劳动力调查结构性中断

IF 0.5 4区 数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS
Håvard Hungnes, T. Skjerpen, Jørn Ivar Hamre, Xiaoming Chen Jansen, Dinh Quang Pham, Ole Sandvik
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引用次数: 0

摘要

所有欧盟国家的劳动力调查(LFS)都在2021年1月进行了实质性的重新设计。为确保挪威劳动力调查主要指标的劳动力市场时间序列的一致性,我们对重新设计的影响进行了建模。我们使用的状态空间模型明确考虑了LFS的轮换模式。我们还加入了与就业和失业有关的辅助变量,这些变量与我们所考虑的劳动力调查变量高度相关。模型中还包含了平行运行的结果。本文的目的是量化重新设计带来的结构性断裂。本文对有关重新设计在诸如 LFS 等旋转面板调查中的影响的文献有两点贡献。首先,我们建议对特定波次效应的过程进行对称规范。其次,通过对 LFS 变量和辅助变量采用时变超参数,我们解释了 LFS 重新设计前后 COVID-19 大流行对劳动力估计值造成的大幅波动。与使用时间不变超参数的模型相比,使用时间变化超参数的模型显示出更好的拟合效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural Break in the Norwegian Labor Force Survey Due to a Redesign During a Pandemic
The labor force surveys (LFS) of all EU countries underwent a substantial redesign in January 2021. To ensure coherent labor market time series for the main indicators in the Norwegian LFS, we model the impact of the redesign. We use a state-space model that takes explicit account of the rotating pattern of the LFS. We also include auxiliary variables related to employment and unemployment that are highly correlated with the LFS variables we consider. The results of a parallel run are also included in the model. The purpose of the article is to quantify the structural breaks due to the redesign. This article makes two contributions to the literature on the effects of redesign in surveys with a rotating panel, such as the LFS. First, we suggest a symmetric specification of the process of the wave-specific effects. Second, we account for substantial fluctuations in the labor force estimates due to the COVID-19 pandemic in the time around the LFS redesign by applying time-varying hyperparameters for both the LFS variables and the auxiliary variables. The specification with time-varying hyperparameters shows a better fit compared to the specification with time-invariant hyperparameters.
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来源期刊
Journal of Official Statistics
Journal of Official Statistics STATISTICS & PROBABILITY-
CiteScore
1.90
自引率
9.10%
发文量
39
审稿时长
>12 weeks
期刊介绍: JOS is an international quarterly published by Statistics Sweden. We publish research articles in the area of survey and statistical methodology and policy matters facing national statistical offices and other producers of statistics. The intended readers are researchers or practicians at statistical agencies or in universities and private organizations dealing with problems which concern aspects of production of official statistics.
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