2021
DOI: 10.1111/rssa.12713
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Using Linked Consumer Registers to Estimate Residential moves in the United Kingdom

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cited by 13 publications
(8 citation statements)
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“…'Linked Consumer Registers' (LCRs) seek to work around these limitations by combining individual-and address-level anonymised databases of adults from retailers' consumer registers with composite databases formed from public versions of electoral registers. At their heart, LCRs consist simply of names, addresses and timestamps indicating a probable start and end dates of residence (van Dijk et al 2021(van Dijk et al : 1456; doing so for every year between 1997 and 2016 creates a database of 47 million moves between 32 million unique addresses (Lansley et al, 2019). When aggregated to the same geographies and timeframe as the 2011 census, van Dijk et al (2021van Dijk et al ( : 1455 find a very high level of overall correlation (0.97) with comparable census data, but LCRs allow these relocations to be disaggregated to much higher temporal and spatial resolutions.…”
Section: Using Novel Data To Trace Displacementmentioning
confidence: 99%
See 2 more Smart Citations
“…'Linked Consumer Registers' (LCRs) seek to work around these limitations by combining individual-and address-level anonymised databases of adults from retailers' consumer registers with composite databases formed from public versions of electoral registers. At their heart, LCRs consist simply of names, addresses and timestamps indicating a probable start and end dates of residence (van Dijk et al 2021(van Dijk et al : 1456; doing so for every year between 1997 and 2016 creates a database of 47 million moves between 32 million unique addresses (Lansley et al, 2019). When aggregated to the same geographies and timeframe as the 2011 census, van Dijk et al (2021van Dijk et al ( : 1455 find a very high level of overall correlation (0.97) with comparable census data, but LCRs allow these relocations to be disaggregated to much higher temporal and spatial resolutions.…”
Section: Using Novel Data To Trace Displacementmentioning
confidence: 99%
“…The National Change of Address (NCOA) file maintained by the Royal Mail might seem promising in terms of deriving origin/destination data to track displacement, but many households neglect to, or are unable to pay for, postal forwarding. Likewise, the data used by the Office for National Statistics (ONS), which draws on patient registrations in a healthcare setting, is strongly impacted by the nature of healthcare provision: young people are seriously under-represented and moves over short distances (within the same commissioning context) are under-counted (see discussion in van Dijk et al, 2021van Dijk et al, : 1455. 'Linked Consumer Registers' (LCRs) seek to work around these limitations by combining individual-and address-level anonymised databases of adults from retailers' consumer registers with composite databases formed from public versions of electoral registers.…”
Section: Using Novel Data To Trace Displacementmentioning
confidence: 99%
See 1 more Smart Citation
“…Our approach is to use the near-complete Linked Consumer Register (LCR) of all adult individual names and addresses in Great Britain in 2011 (see Lansley et al 2019; Van Dijk et al 2021) as a frame to estimate ethnicities. The 2011 LCR provides an annual snapshot of the UK adult population created and curated by the ESRC Consumer Data Research Centre (CDRC), as part of a corpus of such data initially covering the period 1997-2016.…”
Section: Data Sourcesmentioning
confidence: 99%
“…In the absence of frequently updated data on the nature of residential moves and the circumstances of movers, this chapter uses a unique digital corpus of linked individual and household level consumer registers compiled by the UK Consumer Data Research Centre (Lansley et al 2019). These so-called Linked Consumer Registers (LCRs) have been used to model residential mobility by assigning individuals vacating a property to their most probable destination (Van Dijk et al 2020). Our highly disaggregate and scale-free analysis makes possible highly granular origin-destination analysis of residential mobility outcomes and allows us to relate demographic change with neighbourhood change.…”
Section: Introductionmentioning
confidence: 99%