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Journal of the Royal Statistical Society Series A (Statistics in Society)
Article . 2019 . Peer-reviewed
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Article . 2019
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Creating a Linked Consumer Register for Granular Demographic Analysis

Creating a linked consumer register for granular demographic analysis
Authors: Lansley, G; Li, W; Longley, PA;

Creating a Linked Consumer Register for Granular Demographic Analysis

Abstract

Summary A very large share of the adult population frequently assent to provide data on their place of residence to local governments and businesses when registering for or acquiring goods and services. When linked together, such data can provide highly granular inventories of local populations and their characteristics on far faster refresh cycles than conventional statistical sources. However, each of the constituent sources of data is of largely unknown provenance. We describe how careful curation, linkage and analysis of sources of consumer and administrative data can resolve many questions of content and coverage, resulting in comprehensive, highly disaggregate and frequently updateable representations of population structure, along with reliable estimates of incompleteness and possible bias. We link 20 consecutive annual public UK registers of electors to a range of sources of consumer data to create annual updates to a longitudinal profile of the adult residents of almost every domestic property. We illustrate the applicability and value of the resulting unique data resource through the derivation of an annual small area household change index. We also assess the prospects of other, related, data linkage projects.

Country
United Kingdom
Related Organizations
Keywords

Census, Consumer data, consumer data, census, Population, population, Data linkage, Applications of statistics, residential mobility, Electoral register, Residential mobility, electoral register, data linkage

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    28
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
Green
hybrid