| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25930 |
| 来源ID | Working Paper 25930 |
| A Unified Approach to Measuring u* | |
| Richard K. Crump; Stefano Eusepi; Marc Giannoni; Ayşegül Şahin | |
| 发表日期 | 2019-06-10 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | This paper bridges the gap between two popular approaches to estimating the natural rate of unemployment, u*. The first approach uses detailed labor market indicators such as labor market flows, cross-sectional data on unemployment and vacancies, or various measures of demographic changes. The second approach which comprises reduced form models and DSGE models relies on aggregate price and wage Phillips curve relationships. We combine the key features of these two approaches to estimate the natural rate of unemployment in the United States using both data on labor market flows and a forward-looking Phillips curve linking inflation to current and expected deviations of unemployment from its unobserved natural rate. We estimate that the natural rate of unemployment is around 4.0% toward the end of 2018 and that the unemployment gap is roughly closed. Identification of a secular downward trend in the unemployment rate, driven solely by the inflow rate, facilitates the estimation of u*. We identify the increase in labor force attachment of women, decline in job destruction and reallocation intensity, and dual aging of workers and firms as the main drivers of the secular downward trend in the inflow rate. |
| 主题 | Microeconomics ; Economics of Information ; Macroeconomics ; Consumption and Investment ; Business Cycles ; Labor Economics ; Demography and Aging |
| URL | https://www.nber.org/papers/w25930 |
| 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/583604 |
| 推荐引用方式 GB/T 7714 | Richard K. Crump,Stefano Eusepi,Marc Giannoni,et al. A Unified Approach to Measuring u*. 2019. |
| 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 | ||
| w25930.pdf（1912KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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