| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25818 |
| 来源ID | Working Paper 25818 |
| Automating Response Evaluation for Franchising Questions on the 2017 Economic Census | |
| Joseph Staudt; Yifang Wei; Lisa Singh; Shawn D. Klimek; J. Bradford Jensen; Andrew L. Baer | |
| 发表日期 | 2019-05-13 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | Between the 2007 and 2012 Economic Censuses (EC), the count of franchise-affiliated establishments declined by 9.8%. One reason for this decline was a reduction in resources that the Census Bureau was able to dedicate to the manual evaluation of survey responses in the franchise section of the EC. Extensive manual evaluation in 2007 resulted in many establishments, whose survey forms indicated they were not franchise-affiliated, being recoded as franchise-affiliated. No such evaluation could be undertaken in 2012. In this paper, we examine the potential of using external data harvested from the web in combination with machine learning methods to automate the process of evaluating responses to the franchise section of the 2017 EC. Our method allows us to quickly and accurately identify and recode establishments have been mistakenly classified as not being franchise-affiliated, increasing the unweighted number of franchise-affiliated establishments in the 2017 EC by 22%-42%. |
| 主题 | Econometrics ; Data Collection ; Industrial Organization ; Industry Studies |
| URL | https://www.nber.org/papers/w25818 |
| 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/583491 |
| 推荐引用方式 GB/T 7714 | Joseph Staudt,Yifang Wei,Lisa Singh,et al. Automating Response Evaluation for Franchising Questions on the 2017 Economic Census. 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 | ||
| w25818.pdf（236KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
