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A Cohort Location Model of household sorting in US metropolitan regions

Author

Listed:
  • Hossein Estiri

    (Harvard Medical School, USA)

  • Andy Krause

    (University of Melbourne, Australia)

Abstract

In this paper we propose a household sorting model for the 50 largest US metropolitan regions and evaluate the model using 2010 Census data. To approximate residential locations for household cohorts, we specify a Cohort Location Model (CLM) built upon two principle assumptions about housing consumption and metropolitan development/land use patterns. According to our model, the expected distance from the household’s residential location to the city centre(s) increases with the age of the householder (as a proxy for changes in housing career over life span). The CLM provides a flexible housing-based explanation for household sorting patterns in US metropolitan regions. Results from our analysis on US metropolitan regions show that households headed by individuals under the age of 35 are the most common cohort in centrally located areas. We also found that households over 35 are most prevalent in peripheral locations, but their sorting was not statistically different across space.

Suggested Citation

  • Hossein Estiri & Andy Krause, 2018. "A Cohort Location Model of household sorting in US metropolitan regions," Urban Studies, Urban Studies Journal Limited, vol. 55(1), pages 71-90, January.
    • Handle: RePEc:sae:urbstu:v:55:y:2018:i:1:p:71-90
    DOI: 10.1177/0042098016668783
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    References listed on IDEAS

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