Measuring Housing Stability With Consumer Reference Data

Autor:	David C. Phillips
Rok vydání:	2020
Předmět:	Public economics Public housing Internal migration media_common.quotation_subject 05 social sciences Gentrification Track (rail transport) Reference data 0502 economics and business Demolition Quality (business) Business 050207 economics Natural disaster 050205 econometrics Demography media_common
Zdroj:	Demography. 57:1323-1344
ISSN:	1533-7790 0070-3370
DOI:	10.1007/s13524-020-00893-5
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::76e75920af885b2704322550710734ab https://doi.org/10.1007/s13524-020-00893-5 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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