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Multilevel Perspectives on Modeling Census Data

Author

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  • S V Subramanian

    (Harvard Center for Society and Health, Department of Health and Social Behavior, Harvard School of Public Health, 677 Huntington Avenue, 7th Floor, Boston, MA 02115-6096, USA)

  • Craig Duncan

    (Institute for the Geography of Health, Buckingam Building, Lion Terrace, University of Portsmouth, Portsmouth PO1 3HE, England)

  • Kelvyn Jones

    (School of Geographical Science, University of Bristol, University Road, Bristol BS8 1SS, England)

Abstract

Since most census data are released for spatial aggregates, the microscale of people and the macroscale of places are confounded in analyses. Although regrettable, this situation is usually tolerated owing to the other obvious attractions of census data. In this paper, we consider how multilevel statistical procedures offer a solution to this problem. Importantly, we show how they allow places to be considered in terms of several different scales simultaneously. As we demonstrate, this provides important connections with recent moves towards performance review in several areas of public policy. An analysis of data on illiteracy from the 1991 Indian Census provides an illustration of multilevel approach and its usefulness.

Suggested Citation

  • S V Subramanian & Craig Duncan & Kelvyn Jones, 2001. "Multilevel Perspectives on Modeling Census Data," Environment and Planning A, , vol. 33(3), pages 399-417, March.
    • Handle: RePEc:sae:envira:v:33:y:2001:i:3:p:399-417
    DOI: 10.1068/a3357
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    References listed on IDEAS

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