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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w24010 |
来源ID | Working Paper 24010 |
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity | |
Edward L. Glaeser; Hyunjin Kim; Michael Luca | |
发表日期 | 2017-11-13 |
出版年 | 2017 |
语种 | 英语 |
摘要 | Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of local economic activity at the local level. However, these statistics typically appear only after multi-year lags, and the public-facing versions are aggregated to the county or ZIP code level. In contrast, crowdsourced data from online platforms such as Yelp are often contemporaneous and geographically finer than official government statistics. In this paper, we present evidence that Yelp data can complement government surveys by measuring economic activity in close to real time, at a granular level, and at almost any geographic scale. Changes in the number of businesses and restaurants reviewed on Yelp can predict changes in the number of overall establishments and restaurants in County Business Patterns. An algorithm using contemporaneous and lagged Yelp data can explain 29.2 percent of the residual variance after accounting for lagged CBP data, in a testing sample not used to generate the algorithm. The algorithm is more accurate for denser, wealthier, and more educated ZIP codes. |
主题 | Macroeconomics ; Macroeconomic Models ; Development and Growth ; Innovation and R& ; D ; Regional and Urban Economics ; Regional Economics |
URL | https://www.nber.org/papers/w24010 |
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/581684 |
推荐引用方式 GB/T 7714 | Edward L. Glaeser,Hyunjin Kim,Michael Luca. Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity. 2017. |
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 | ||
w24010.pdf(1247KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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