Abstract

http://ssrn.com/abstract=1465341
 
 

References (6)



 
 

Citations (16)



 


 



Google Econometrics and Unemployment Forecasting


Nikos Askitas


Institute for the Study of Labor (IZA)

Klaus F. Zimmermann


Harvard University; German Institute for Economic Research (DIW Berlin); University of Bonn; Centre for Economic Policy Research (CEPR)

May 1, 2009

DIW Berlin Discussion Paper No. 899

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.

Number of Pages in PDF File: 26

Keywords: Google, internet, keyword search, search engine, unemployment, predictions, time series analysis

JEL Classification: C22, C82, E17, E24, E37


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Date posted: September 2, 2009  

Suggested Citation

Askitas, Nikos and Zimmermann, Klaus F., Google Econometrics and Unemployment Forecasting (May 1, 2009). DIW Berlin Discussion Paper No. 899. Available at SSRN: http://ssrn.com/abstract=1465341 or http://dx.doi.org/10.2139/ssrn.1465341

Contact Information

Nikos Askitas (Contact Author)
Institute for the Study of Labor (IZA) ( email )
P.O. Box 7240
Bonn, D-53072
Germany
+49 228 3894 525 (Phone)
+49 228 3894 510 (Fax)
HOME PAGE: http://www.iza.org/home/askitas

Klaus F. Zimmermann
Harvard University ( email )
1875 Cambridge Street
Cambridge, MA 02138
United States
German Institute for Economic Research (DIW Berlin)
Mohrenstraße 58
Berlin, 10117
Germany
University of Bonn
Postfach 2220
Bonn, D-53012
Germany
Centre for Economic Policy Research (CEPR)
77 Bastwick Street
London, EC1V 3PZ
United Kingdom
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