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Google Econometrics and Unemployment Forecasting

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Author Info
Nikolaos Askitas
Klaus F. Zimmermann

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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.

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Publisher Info
Article provided by Duncker & Humblot, Berlin in its journal Applied Economics Quarterly.

Volume (Year): 55 (2009)
Issue (Month): 2 ()
Pages: 107-120
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Handle: RePEc:aeq:aeqaeq:v55_y2009_i2_q2_p107-120

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Web page: http://www.duncker-humblot.de

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Web: http://www.duncker-humblot.de/?mnu=1000&cmd=1004&typ=1003&pid=4&tid=24

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Related research
Keywords: Google; internet; keyword search; search engine; unemployment; predictions; time-series analysis;

Other versions of this item:

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data
E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation
E24 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution
E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation

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Statistics
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This page was last updated on 2009-11-3.


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