| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28861 |
| 来源ID | Working Paper 28861 |
| Learning about Homelessness Using Linked Survey and Administrative Data | |
| Bruce D. Meyer; Angela Wyse; Alexa Grunwaldt; Carla Medalia; Derek Wu | |
| 发表日期 | 2021-05-31 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | Official poverty statistics and even the extreme poverty literature largely ignore people experiencing homelessness. In this paper, we examine the characteristics, labor market attachment, geographic mobility, earnings, and safety net utilization of this population in order to understand their economic well-being. This paper is the first to examine these outcomes at the national level using administrative data on income and government program receipt. It is part of the Comprehensive Income Dataset project, which combines household survey data with administrative records to improve estimates of income and related statistics. Specifically, we use restricted microdata from the 2010 Decennial Census, which enumerates both sheltered and unsheltered homeless people, the 2006-2016 American Community Survey (ACS), which surveys sheltered homeless people, and longitudinal shelter-use data from several major U.S. cities. We link these data to longitudinal administrative tax records as well as administrative data on the Supplemental Nutrition Assistance Program (SNAP), veterans’ benefits, Medicare, Medicaid, housing assistance, and mortality. Our approach benefits from large samples that offer a guide to national homelessness patterns and allow us to compare estimates between data sources, including the Department of Housing and Urban Development (HUD)’s point-in-time (PIT) counts. By shedding light on issues of data linkage and survey coverage among homeless people, this paper contributes to efforts to better incorporate this hard-to-survey population into income and poverty estimates. |
| 主题 | Labor Economics ; Regional and Urban Economics |
| URL | https://www.nber.org/papers/w28861 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/586535 |
| 推荐引用方式 GB/T 7714 | Bruce D. Meyer,Angela Wyse,Alexa Grunwaldt,et al. Learning about Homelessness Using Linked Survey and Administrative Data. 2021. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w28861.pdf（1638KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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