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Google Econometrics and Unemployment Forecasting

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Author Info
Askitas, Nikos () (IZA)
Zimmermann, Klaus F. () (IZA, DIW Berlin and Bonn University)

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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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File URL: http://ftp.iza.org/dp4201.pdf
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Publisher Info
Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 4201.

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Length: 2009 pages
Date of creation: Jun 2009
Date of revision:
Publication status: published in: Applied Economics Quarterly, 2009, 55 (2), 107-120. Courtesy of Duncker&Humblot Berlin, the DP contains a download link to the published version
Handle: RePEc:iza:izadps:dp4201

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

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 2009-11-23.


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