G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w25818
来源IDWorking 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
URLhttps://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
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Joseph Staudt]的文章
[Yifang Wei]的文章
[Lisa Singh]的文章
百度学术
百度学术中相似的文章
[Joseph Staudt]的文章
[Yifang Wei]的文章
[Lisa Singh]的文章
必应学术
必应学术中相似的文章
[Joseph Staudt]的文章
[Yifang Wei]的文章
[Lisa Singh]的文章
相关权益政策
暂无数据
收藏/分享
文件名: w25818.pdf
格式: Adobe PDF
此文件暂不支持浏览

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。