IDEAS home Printed from https://ideas.repec.org/a/hhs/jdaecn/0114.html
   My bibliography  Save this article

Danish Neighbourhoods: Construction and Relevance for Measurement of Residential Segregation

Author

Listed:
  • Damm, Anna Piil

    (Department of Economics, Aarhus School of Business, Aarhus University)

  • Schultz-Nielsen, Marie Louise

    (The Rockwool Foundation Research Unit, Copenhagen)

Abstract

In 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 phy sical barriers, compact, homogeneous in terms of type of housing and ownership, relatively small, homogeneous in terms of number of inhabitants, and comprised of a conti guous 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.

Suggested Citation

  • Damm, Anna Piil & Schultz-Nielsen, Marie Louise, 2008. "Danish Neighbourhoods: Construction and Relevance for Measurement of Residential Segregation," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2008(1), pages 241-262.
  • Handle: RePEc:hhs:jdaecn:0114
    as

    Download full text from publisher

    File URL: https://www.xn--nt-lka.dk/files/2008/2008.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Boje-Kovacs, Bence & Greve, Jane & Weatherall, Cecilie D., 2024. "Ethnic networks in neighborhoods affect mental health: Evidence from a quasi-random assignment of applicants in the public social housing system," Social Science & Medicine, Elsevier, vol. 345(C).
    2. Eshaghnia, Sadegh S. M. & Heckman, James J. & Razavi, Goya, 2023. "Pricing Neighborhoods," IZA Discussion Papers 16234, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    city planning; housing;

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:jdaecn:0114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lasse Wolsgård (email available below). General contact details of provider: https://edirc.repec.org/data/nffffea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.