New evidence on mental health and housing affordability in cities: A quantile regression approach

New evidence on mental health and housing affordability in cities: A quantile regression approach
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DOI:
10.1016/j.cities.2019.102455
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发表时间:
2020-01-01
期刊:
影响因子:
6.7
通讯作者:
Bentley, Rebecca
Bentley, Rebecca
中科院分区:
经济学1区
文献类型:
--
作者:
Baker, Emma;Ngoc Thien Anh Pham;Bentley, Rebecca

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负担不起的住房成本是我们城市面临的最紧迫的问题之一,它以难以衡量的方式影响着人们的健康。人们的健康状况随着时间的推移而变化,并与居住经历动态地相互作用。纵向分析很少明确地模拟这些变化。分位数回归是一种未充分利用的工具,用于测试结果分布之间的关联。在本文中,我们应用面板分位数回归来检验是否随着时间的推移,累积暴露于负担不起的住房对心理健康有不同的影响,取决于初始健康状况。使用20,906名澳大利亚城市居民(2001-2016)的年度纵向样本,我们使用分位数回归(考虑最初处于第10、50、90个心理健康百分位数)对心理健康结果进行建模。虽然传统的固定效应模型没有发现累积效应的证据,但分位数回归显示,初始心理健康中位数低的个体更容易受到负担不起的住房的影响,而初始心理健康中位数高的个体似乎受到保护。我们的研究结果表明,分位数回归是一种很有希望的方法,可以理解城市问题对人类的复杂影响,针对心理健康状况最差的人的政策可能会减轻负担不起住房的后果。
Unaffordable housing costs are one of the most pressing issues facing our cities, affecting people's health in difficult to measure ways. People's health varies over time and dynamically interacts with experiences of housing. Longitudinal analyses rarely explicitly model these variations. Quantile regression is an underutilised tool for testing associations across the distribution of an outcome. In this paper we apply panel quantile regression to test whether cumulative exposure to unaffordable housing over time has differential impact on mental health, dependent on initial health status. Using an annual longitudinal sample of 20,906 urban Australians (2001-2016), we model mental health outcomes using quantile regression (accounting for being in 10th, 50th, 90th mental health percentile initially). Although traditional fixed-effects models find weak evidence of cumulative effect, quantile regression reveals that individuals with low-median initial mental health were more affected by unaffordable housing, and individuals with high initial mental health appeared to be protected. Our findings suggest quantile regression as a promising method for understanding complex human effects of urban problems, and that policies targeted toward people with the poorest mental health may mitigate the consequences of exposure to unaffordable housing.