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Author Gerdes, John ♦ Karuga, Gilbert ♦ Ettredge, Michael
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Tracking common search terms used on the Web can produce accurate, useful statistics about the unemployment rate. We hope to extend this approach to other economic statistics.
Description Affiliation: University of Kansas, Lawrence (Ettredge, Michael; Karuga, Gilbert) || University of California, Riverside (Gerdes, John)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 48
Issue Number 11
Page Count 6
Starting Page 87
Ending Page 92


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Source: ACM Digital Library