全球智库信息集成服务系统(G2TT): “Google it!” Forecasting the US Unemployment Rate with a Google Job Search index

G2TT

来源类型	FEEM working papers "Note di lavoro" series
规范类型	论文
	“Google it!” Forecasting the US Unemployment Rate with a Google Job Search index
	Francesco D’Amuri; Juri Marcucci
发表日期	2010
出处	Economy and Society
出版年	2010
语种	英语
摘要	We suggest the use of an Internet job-search indicator (the Google Index, GI) as the best leading indicator to predict the US unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt both our preferred leading indicator (GI), the more standard initial claims or combinations of both. We find that models augmented with the GI outperform the traditional ones in predicting the monthly unemployment rate, even in most state-level forecasts and in comparison with the Survey of Professional Forecasters.
特色分类	C22;C53;E27;E37;J60;J64
关键词	Google Econometrics Forecast Comparison Keyword Search US Unemployment Time Series Models
URL	https://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/-google-it-forecasting-the-us-unemployment-rate-with-a-google-job-search-index/
来源智库	Fondazione Eni Enrico Mattei (Italy)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/117812
推荐引用方式 GB/T 7714	Francesco D’Amuri,Juri Marcucci. “Google it!” Forecasting the US Unemployment Rate with a Google Job Search index. 2010.