| 来源类型 | Discussion paper
|
| 规范类型 | 论文
|
| 来源ID | DP17288
|
| DP17288 Employer Reallocation During the COVID-19 Pandemic: Validation and Application of a Do-It-Yourself CPS |
| Alexander Bick; Adam Blandin
|
| 发表日期 | 2022-05-08
|
| 出版年 | 2022
|
| 语种 | 英语
|
| 摘要 | Economists have recently begun using independent online surveys to collect national labor market data. Questions remain over the quality of such data. This paper provides an approach to address these concerns. Our case study is the Real-Time Population Survey (RPS), a novel online survey of the US built around the Current Population Survey (CPS). The RPS replicates core components of the CPS, ensuring comparable measures that allow us to weight and rigorously validate our results using a high-quality benchmark. At the same time, special questions in the RPS yield novel information regarding employer reallocation during the COVID-19 pandemic. We document that 26% of pre-pandemic workers were working for a new employer one year into the COVID-19 outbreak in the US, at least double the rate of any previous episode in the past quarter century. Our discussion contains practical suggestions for the design of novel labor market surveys and highlights other promising applications of our methodology. |
| 主题 | Labour Economics
; Macroeconomics and Growth
|
| URL | https://cepr.org/publications/dp17288
|
| 来源智库 | Centre for Economic Policy Research (United Kingdom)
|
| 资源类型 | 智库出版物
|
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/546308
|
推荐引用方式
GB/T 7714 |
Alexander Bick,Adam Blandin. DP17288 Employer Reallocation During the COVID-19 Pandemic: Validation and Application of a Do-It-Yourself CPS. 2022.
|
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