Estimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to sensitive geo-referenced administrative data protected via measurement error
Estimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to sensitive geo-referenced administrative data protected via measurement error
Modern systems of official statistics require the timely estimation of area-specific densities of subpopulations. Ideally estimates should be based on precise geocoded information, which is not available because of confidentiality constraints. One approach for ensuring confidentiality is by rounding the geoco-ordinates. We propose multivariate non-parametric kernel density estimation that reverses the rounding process by using a measurement error model. The methodology is applied to the Berlin register of residents for deriving density estimates of ethnic minorities and aged people. Estimates are used for identifying areas with a need for new advisory centres for migrants and infrastructure for older people.
161-183
Groß, Marcus
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Rendtel, Ulrich
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Schmid, Timo
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Schmon, Sebastian
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Tzavidis, Nikolaos
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Groß, Marcus
03fcd0d9-68e6-4d76-a4a1-b80203419c59
Rendtel, Ulrich
2f0a82b7-2468-40d6-aa5a-1d2766743d49
Schmid, Timo
6337d53e-bfc0-4a18-b31c-551d2f859336
Schmon, Sebastian
300ea11f-e97d-4994-9af1-48b058ef2cf4
Tzavidis, Nikolaos
431ec55d-c147-466d-9c65-0f377b0c1f6a
Groß, Marcus, Rendtel, Ulrich, Schmid, Timo, Schmon, Sebastian and Tzavidis, Nikolaos
(2016)
Estimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to sensitive geo-referenced administrative data protected via measurement error.
Journal of the Royal Statistical Society: Series A (Statistics in Society), 180 (1), .
(doi:10.1111/rssa.12179).
Abstract
Modern systems of official statistics require the timely estimation of area-specific densities of subpopulations. Ideally estimates should be based on precise geocoded information, which is not available because of confidentiality constraints. One approach for ensuring confidentiality is by rounding the geoco-ordinates. We propose multivariate non-parametric kernel density estimation that reverses the rounding process by using a measurement error model. The methodology is applied to the Berlin register of residents for deriving density estimates of ethnic minorities and aged people. Estimates are used for identifying areas with a need for new advisory centres for migrants and infrastructure for older people.
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Gross et al - Kernel Density Estimation_Berlin Register - final.pdf
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Gro-_et_al-2016-Journal_of_the_Royal_Statistical_Society__Series_A_(Statistics_in_Society).pdf
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Accepted/In Press date: 6 November 2015
e-pub ahead of print date: 7 February 2016
Organisations:
Statistics
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Local EPrints ID: 383719
URI: http://eprints.soton.ac.uk/id/eprint/383719
ISSN: 0964-1998
PURE UUID: 7853bfb0-48a4-465b-ac11-e930891cc56d
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Date deposited: 12 Nov 2015 12:48
Last modified: 15 Mar 2024 03:11
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Author:
Marcus Groß
Author:
Ulrich Rendtel
Author:
Timo Schmid
Author:
Sebastian Schmon
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