| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w26033 |
| 来源ID | Working Paper 26033 |
| Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data | |
| Tomaz Cajner; Leland D. Crane; Ryan A. Decker; Adrian Hamins-Puertolas; Christopher Kurz | |
| 发表日期 | 2019-07-08 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | This paper combines information from two sources of U.S. private payroll employment to increase the accuracy of real-time measurement of the labor market. The sources are the Current Employment Statistics (CES) from BLS and microdata from the payroll processing firm ADP. We briefly describe the ADP-derived data series, compare it to the BLS data, and describe an exercise that benchmarks the data series to an employment census. The CES and the ADP employment data are each derived from roughly equal-sized samples. We argue that combining CES and ADP data series reduces the measurement error inherent in both data sources. In particular, we infer “true” unobserved payroll employment growth using a state-space model and find that the optimal predictor of the unobserved state puts approximately equal weight on the CES and ADP-derived series. Moreover, the estimated state contains information about future readings of payroll employment. |
| 主题 | Econometrics ; Estimation Methods ; Data Collection ; Labor Economics ; Demography and Aging |
| URL | https://www.nber.org/papers/w26033 |
| 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/583707 |
| 推荐引用方式 GB/T 7714 | Tomaz Cajner,Leland D. Crane,Ryan A. Decker,et al. Improving the Accuracy of Economic Measurement with Multiple Data Sources: The Case of Payroll Employment Data. 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 | ||
| w26033.pdf（303KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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