Wilson Sheehan Lab for Economic Opportunities, Department of Economics, University of Notre Dame, 3060 Jenkins Nanovic Hall, South Bend, IN, 46556, USA.
Demography. 2020 Aug;57(4):1323-1344. doi: 10.1007/s13524-020-00893-5.
Housing instability for low-income renters has drawn greater attention recently, but measurement has limited research on policies to stabilize housing. Address histories from consumer reference data can be used to increase the quantity and quality of research on low-income renters. Consumer data track housing moves throughout the entire United States for most of the adult population. In this article, I show that such data can measure housing stability for groups with very low income and extreme instability. For example, the data can track housing moves during natural disasters, at demolition of public housing, for households at high risk of homelessness, and during gentrification. Consumer data can track housing instability outcomes that are more common than shelter entry and less expensive to collect than surveys. Relative to existing administrative address histories, consumer data allow researchers to track housing moves to exact addresses and across jurisdictions.
最近，人们对低收入租房者的住房不稳定问题给予了更多关注，但衡量标准限制了稳定住房政策的研究。消费者参考数据中的地址记录可用于增加有关低收入租房者的研究数量和质量。消费者数据在美国全国范围内跟踪大多数成年人口的住房流动情况。在本文中，我表明，此类数据可以衡量收入极低且极不稳定人群的住房稳定性。例如，数据可以跟踪自然灾害期间、公共住房拆除时、有极高无家可归风险的家庭以及在高档化过程中的住房变动情况。消费者数据可以跟踪比收容所入住更为常见且比调查更廉价的住房不稳定结果。与现有的行政地址记录相比，消费者数据使研究人员能够跟踪住房转移到确切的地址并跨越管辖范围。
