研究论文
Predicting the Present with Google Trends
Hyunyoung Choi, Hal R. Varian
Google (United States)
来源Economic Record
年份2012
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
摘要 · 完整
In this paper we show how to use search engine data to forecast near‐term values of economic indicators. Examples include automobile sales, unemployment claims, travel destination planning and consumer confidence.
逐年被引趋势
2251130
17
18
19
22520
21
22
23
24
25
26
关键指标
2,325
被引次数 · OpenAlex
79.53
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.1%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
36
参考文献
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
论文问答
当前基于摘要回答
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Data-Driven Disease Surveillance
Human Mobility and Location-Based Analysis
参考文献 36
Monitoring Influenza Trends through Mining Social Media.
被引 57Courtney D. Corley, Armin R. Mikler, Karan P. Singh · 2009
APPROACHES FOR BAYESIAN VARIABLE SELECTION
被引 1,160Edward I. George, Robert E. McCulloch · 1997
Constructing Consumer Sentiment Index for U.S. Using Google Searches
被引 38Nicolás Della Penna, Haifang Huang · RePEc: Research Papers in Economics · 2010
此处列出前 3 条
引用本文 2,325
In Search of Attention
被引 3,141Zhi Da, Joseph Engelberg, Pengjie Gao · The Journal of Finance · 2011
Big Data: New Tricks for Econometrics
被引 1,575Hal R. Varian · The Journal of Economic Perspectives · 2014
Text as Data
被引 1,214Matthew Gentzkow, Bryan Kelly, Matt Taddy · Journal of Economic Literature · 2019
按被引量排序,此处列出前 3 条