A Cohort Location Model of household sorting in US metropolitan regions

Hossein Estiri and Andy Krause
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Hossein Estiri: Harvard Medical School, USA
Andy Krause: University of Melbourne, Australia

Urban Studies, 2018, vol. 55, issue 1, 71-90

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.

Keywords: Cohort Location Model; household sorting pattern; lifecycle approach; metropolitan sorting effect; spatial model; US metropolitan regions; é˜Ÿåˆ—ä½ ç½®æ¨¡åž‹; 家庭分类模å¼; 生命周期方法; 城市分类效应; 空间模型; 美国大都市区域 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:urbstu:v:55:y:2018:i:1:p:71-90

DOI: 10.1177/0042098016668783

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