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Using linked consumer registers to estimate residential moves in the United Kingdom
The Journal of the Royal Statistical Society, Series A (Statistics in Society) ( IF 1.5 ) Pub Date : 2021-07-12 , DOI: 10.1111/rssa.12713
Justin T. van Dijk 1 , Guy Lansley 1 , Paul A. Longley 1
Affiliation  

This paper argues that frequently updated data on the nature of residential moves and the circumstances of movers in the United Kingdom are insufficient for many research purposes. Accordingly, we develop previous research reported in this Journal to re-purpose consumer and administrative data in order to develop annual estimates of residential mobility between all UK neighbourhoods. We use a unique digital corpus of linked individual and household-level consumer registers compiled by the UK Consumer Data Research Centre, comprising over 143 million unique address records pertaining to the entire UK adult population over the period 1997–2016. We describe how records pertaining to individuals vacating a property can be assigned to their most probable residential destination, based on novel methods of matching names, assessing household composition, and using information on the date and probable distance of residential moves. We believe that the results of this analysis contribute highly granular, frequently updated estimates of residential moves that can be used to chart population-wide outcomes of residential mobility and migration behaviour, as well as the socio-spatial characteristics of the sedentary population.

中文翻译:

使用链接的消费者登记册来估计英国的住宅移动

本文认为,关于英国住宅搬迁性质和搬家情况的频繁更新数据不足以满足许多研究目的。因此,我们开发了本杂志先前报道的研究,以重新利用消费者和行政数据,以便对英国所有社区之间的住宅流动性进行年度估计。我们使用由英国消费者数据研究中心编制的独特的个人和家庭级消费者登记数字语料库,其中包括 1997 年至 2016 年期间与整个英国成年人口相关的超过 1.43 亿条唯一地址记录。我们描述了如何根据匹配姓名、评估家庭构成、并使用有关住宅搬迁日期和可能距离的信息。我们相信,这项分析的结果有助于对居住移动的高度细化、经常更新的估计,可用于绘制居住移动和迁移行为的全人口结果,以及久坐人口的社会空间特征。
更新日期:2021-07-12
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