| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w26632 |
| 来源ID | Working Paper 26632 |
| Imputing Missing Values in the US Census Bureau's County Business Patterns | |
| Fabian Eckert; Teresa C. Fort; Peter K. Schott; Natalie J. Yang | |
| 发表日期 | 2020-01-13 |
| 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: (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. Finally, we construct a user-friendly, 1975 to 2016 county-level panel that classifies industries according to a consistent set of 2012 NAICS codes in all years. |
| 主题 | Macroeconomics ; Consumption and Investment ; International Economics ; Trade ; Labor Economics ; Labor Supply and Demand ; Industrial Organization ; Industry Studies |
| URL | https://www.nber.org/papers/w26632 |
| 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/584306 |
| 推荐引用方式 GB/T 7714 | Fabian Eckert,Teresa C. Fort,Peter K. Schott,et al. Imputing Missing Values in the US Census Bureau's County Business Patterns. 2020. |
| 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 | ||
| w26632.pdf（644KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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