Gateway to Think Tanks
来源类型 | Brief |
规范类型 | 简报 |
Can Unemployment Numbers Predict the Number of Mortgages That Will Go into Forbearance? | |
Laurie Goodman; Michael Neal; Jung Hyun Choi | |
发表日期 | 2020-05-15 |
出版年 | 2020 |
语种 | 英语 |
概述 | Estimating how many of the 33.4 million borrowers who have government-backed mortgages will ask for forbearance in the coming months is critical for policymakers to know how much support mortgage servicers require to remain operational. Most mortgage market analysts have modeled homeowners’ forbearance take-up on the unemployment rate. The researchers explain how complicated this calculation is, that it should |
摘要 | Estimating how many of the 33.4 million borrowers who have government-backed mortgages will ask for forbearance in the coming months is critical for policymakers to know how much support mortgage servicers require to remain operational. Most mortgage market analysts have modeled homeowners’ forbearance take-up on the unemployment rate. The researchers explain how complicated this calculation is, that it should be based on the homeowner unemployment rate, not the overall unemployment rate, and offer three reasons the forbearance rate might be higher than the homeowner unemployment rate and three reasons it might be lower. |
主题 | Economic Growth and Productivity ; Housing and Housing Finance ; Income and Wealth |
URL | https://www.urban.org/research/publication/can-unemployment-numbers-predict-number-mortgages-will-go-forbearance |
来源智库 | Urban Institute (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/481003 |
推荐引用方式 GB/T 7714 | Laurie Goodman,Michael Neal,Jung Hyun Choi. Can Unemployment Numbers Predict the Number of Mortgages That Will Go into Forbearance?. 2020. |
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 | ||
can-unemployment-num(238KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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