| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w20010 |
| 来源ID | Working Paper 20010 |
| Using Social Media to Measure Labor Market Flows | |
| Dolan Antenucci; Michael Cafarella; Margaret Levenstein; Christopher Ré; Matthew D. Shapiro | |
| 发表日期 | 2014-03-27 |
| 出版年 | 2014 |
| 语种 | 英语 |
| 摘要 | Social media enable promising new approaches to measuring economic activity and analyzing economic behavior at high frequency and in real time using information independent from standard survey and administrative sources. This paper uses data from Twitter to create indexes of job loss, job search, and job posting. Signals are derived by counting job-related phrases in Tweets such as "lost my job." The social media indexes are constructed from the principal components of these signals. The University of Michigan Social Media Job Loss Index tracks initial claims for unemployment insurance at medium and high frequencies and predicts 15 to 20 percent of the variance of the prediction error of the consensus forecast for initial claims. The social media indexes provide real-time indicators of events such as Hurricane Sandy and the 2013 government shutdown. Comparing the job loss index with the search and posting indexes indicates that the Beveridge Curve has been shifting inward since 2011. |
| 主题 | Econometrics ; Data Collection ; Macroeconomics ; Consumption and Investment ; Labor Economics ; Unemployment and Immigration |
| URL | https://www.nber.org/papers/w20010 |
| 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/577684 |
| 推荐引用方式 GB/T 7714 | Dolan Antenucci,Michael Cafarella,Margaret Levenstein,et al. Using Social Media to Measure Labor Market Flows. 2014. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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