| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w17816 |
| 来源ID | Working Paper 17816 |
| Plant-level Productivity and Imputation of Missing Data in U.S. Census Manufacturing Data | |
| T. Kirk White; Jerome P. Reiter; Amil Petrin | |
| 发表日期 | 2012-02-02 |
| 出版年 | 2012 |
| 语种 | 英语 |
| 摘要 | Within-industry differences in measured plant-level productivity are large. A large literature has been devoted to explaining the causes and consequences of these differences. In the U.S. Census Bureau's manufacturing data, the Bureau imputes for missing values using methods known to result in underestimation of variability and potential bias in multivariate inferences. We present an alternative strategy for handling the missing data based on multiple imputation via sequences of classification and regression trees. We use our imputations and the Bureau's imputations to estimate within-industry productivity dispersions. The results suggest that there is more within-industry productivity dispersion than previous research has indicated. We also estimate relationships between productivity and market structure and between output prices, capital, and the probability of plant exit (controlling for productivity) based on the improved imputations. For some estimands, we find substantially different results than those based on the Census Bureau's imputations. |
| 主题 | Econometrics ; Data Collection ; Industrial Organization ; Market Structure and Firm Performance ; Industry Studies |
| URL | https://www.nber.org/papers/w17816 |
| 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/575491 |
| 推荐引用方式 GB/T 7714 | T. Kirk White,Jerome P. Reiter,Amil Petrin. Plant-level Productivity and Imputation of Missing Data in U.S. Census Manufacturing Data. 2012. |
| 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 | ||
| w17816.pdf（344KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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