Arbeitspapier
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 sub-populations. Ideally estimates should be based on precise geo-coded information, which is not available due to confidentiality constraints. One approach for ensuring confidentiality is by rounding the geo-coordinates. We propose multivariate non-parametric kernel density estimation that reverses the rounding process by using a Bayesian 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.
- Sprache
-
Englisch
- Erschienen in
-
Series: Diskussionsbeiträge ; No. 2015/7
- Klassifikation
-
Wirtschaft
- Thema
-
ageing
binned data
ethnic segregation
non-parametric estimation
official statistics
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Groß, Marcus
Rendtel, Ulrich
Schmid, Timo
Schmon, Sebastian
Tzavidis, Nikos
- Ereignis
-
Veröffentlichung
- (wer)
-
Freie Universität Berlin, Fachbereich Wirtschaftswissenschaft
- (wo)
-
Berlin
- (wann)
-
2015
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Groß, Marcus
- Rendtel, Ulrich
- Schmid, Timo
- Schmon, Sebastian
- Tzavidis, Nikos
- Freie Universität Berlin, Fachbereich Wirtschaftswissenschaft
Entstanden
- 2015