Google Econometrics and Unemployment Forecasting

Diskussionspapiere extern

Nikos Askitas, Klaus F. Zimmermann

Bonn: IZA, 2009, 22 S.
(Discussion Paper Series / Forschungsinstitut zur Zukunft der Arbeit ; 4201)

Abstract

The current economic crisis requires fast information to predict economic behavior early, which is difficult at times of structural changes. This paper suggests an innovative new method of using data on internet activity for that purpose. It demonstrates strong correlations between keyword searches and unemployment rates using monthly German data and exhibits a strong potential for the method used.



JEL-Classification: C22;C82;E17;E24;E37
Keywords: Google, internet, keyword search, search engine, unemployment, predictions, timeseries analysis
Externer Link:
http://ftp.iza.org/dp4201.pdf

Frei zugängliche Version: (econstor)
http://hdl.handle.net/10419/35733

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