利用调查数据预测市辖区登记劳动力参与率

IF 0.5 4区 数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS
Jan van den Brakel, J. Michiels
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引用次数: 0

摘要

在荷兰,关于劳动力参与的非常精确和详细的统计信息来自登记册。这种数据源的一个缺点是不及时,因为最终版本通常要延迟两年才能获得。有关劳动力参与情况的更及时资料可从劳动力调查中获得。例如,季度数据在日历季度的六周后可用。这种数据源的一个众所周知的缺点是抽样误差带来的不确定性。在本文中,提出了一种临近预测方法,利用LFS的数据,按季度对城市和社区一级的已登记劳动力参与率进行初步但及时的临近预测。作为第一步,使用LFS数据和batese, Harter和Fuller(1988)的单位级建模方法获得了季度城市劳动力参与数据的小区域估计。随后,在双变量结构时间序列模型中,将市级这些小区域估计的时间序列与登记劳动力参与的时间序列相结合,以便在市和社区一级就近预测登记劳动力参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nowcasting Register Labour Force Participation Rates in Municipal Districts Using Survey Data
Abstract In the Netherlands, very precise and detailed statistical information on labour force participation is derived from registers. A drawback of this data source is that it is not timely since definitive versions typically become available with a delay of two years. More timely information on labour force participation can be derived from the Labour Force Survey (LFS). Quarterly figures, for example, become available six weeks after the calendar quarter. A well-known drawback of this data source is the uncertainty due to sampling error. In this article, a nowcast method is proposed to produce preliminary but timely nowcasts for the register labour force participation on a quarterly frequency at the level of municipalities and neighbourhoods, using the data from the LFS. As a first step, small area estimates for quarterly municipal figures on labour force participation are obtained using the LFS data and the unit-level modelling approach of Battese, Harter and Fuller (1988). Subsequently, time series of these small area estimates at the municipal level are combined with time series on register labour force participation in a bivariate structural time series model in order to nowcast the register labour force participation at the level of municipalities and neighbourhoods.
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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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