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dc.contributor.authorPiil Damm, Annaen_US
dc.contributor.authorSchultz-Nielsen, Marie Louiseen_US
dc.description.abstractIn this paper we propose a model for constructing neighbourhoods based on geo-referenced data and administrative data. The 431,233 inhabited hectare cells in Denmark are clustered into 9,404 small and 2,296 large neighbourhoods, inhabited on average in 2004 by 572 and 2,343 persons respectively. The priorities in the clustering process are to obtain neighbourhoods that are unaltered over time, delineated by physical barriers, compact, homogeneous in terms of type of housing and ownership, relatively small, homogeneous in terms of number of inhabitants, and comprised of a contiguous cluster of cells. To illustrate the importance of detailed neighbourhood information we compare social and ethnic segregation measured by Isolation and Dissimilation indices on the levels of municipalities and of small neighbourhoods. Our findings demonstrate substantial variation in the residential mix in neighbourhoods within a given municipality, and thus show the importance of having information on a more detailed geographical level than that of the municipality.en_US
dc.publisherInstitute for the Study of Labor (IZA) Bonnen_US
dc.relation.ispartofseriesIZA discussion papers 3719en_US
dc.subject.keywordGeo-referenced dataen_US
dc.subject.stwSoziale Schichten_US
dc.subject.stwEthnische Gruppeen_US
dc.titleThe construction of neighbourhoods and its relevance for the measurement of social and ethnic segregation: evidence from Denmarken_US
dc.typeWorking Paperen_US
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

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