| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29003 |
| 来源ID | Working Paper 29003 |
| Tracking Weekly State-Level Economic Conditions | |
| Christiane Baumeister; Danilo Leiva-León; Eric R. Sims | |
| 发表日期 | 2021-07-12 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | In this paper, we develop a novel dataset of weekly economic conditions indices for the 50 U.S. states going back to 1987 based on mixed-frequency dynamic factor models with weekly, monthly, and quarterly variables that cover multiple dimensions of state economies. We show that there is considerable heterogeneity in the length, depth, and timing of business cycles across individual states. We assess the role of states in national recessions and propose an aggregate indicator that allows us to gauge the overall weakness of the U.S. economy. We also illustrate the usefulness of these state-level indices for quantifying the main forces contributing to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of federal economic policies like the Paycheck Protection Program. |
| 主题 | Econometrics ; Estimation Methods ; Macroeconomics ; Business Cycles ; Fiscal Policy ; COVID-19 |
| URL | https://www.nber.org/papers/w29003 |
| 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/586677 |
| 推荐引用方式 GB/T 7714 | Christiane Baumeister,Danilo Leiva-León,Eric R. Sims. Tracking Weekly State-Level Economic Conditions. 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 | ||
| w29003.pdf（5352KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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