| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP14352 |
| DP14352 Imputing Missing Values in the US Census Bureau's County Business Patterns | |
| Peter Schott; Natalie Yang; Fabian Eckert; Teresa Fort | |
| 发表日期 | 2020-01-26 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | The County Business Patterns data published by the US Census Bureau track employment by county and industry from 1946 to the present. Two features of the data limit their usefulness to researchers in practice: (1) employment for the majority of county-industry cells is suppressed to protect confidentiality, and (2) industry classifications change over time. We address both issues. First, we develop a linear programming method that exploits the large set of adding-up constraints implicit in the hierarchical arrangement of the data to impute missing employment. Second, we provide concordances to map all data to a consistent set of industry codes. |
| 主题 | International Trade and Regional Economics ; Labour Economics ; Macroeconomics and Growth |
| URL | https://cepr.org/publications/dp14352 |
| 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/543245 |
| 推荐引用方式 GB/T 7714 | Peter Schott,Natalie Yang,Fabian Eckert,et al. DP14352 Imputing Missing Values in the US Census Bureau's County Business Patterns. 2020. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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