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Title:Google econometrics and unemployment forecasting PDF Logo
Authors:Askitas, Nikolaos
Zimmermann, Klaus F.
Issue Date:2009
Series/Report no.:IZA discussion papers 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.
Subjects:Google
internet
keyword search
search engine
unemployment
predictions
time-series analysis
JEL:C22
C82
E17
E24
E37
Persistent Identifier of the first edition:urn:nbn:de:101:1-20090615167
Document Type:Working Paper
Appears in Collections:Publikationen von Forscherinnen und Forschern des DIW
IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

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