Google Econometrics and Unemployment Forecasting

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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Year of publication:	2009-06
Authors:	Askitas, Nikos ; Zimmermann, Klaus F.
Institutions:	Institute for the Study of Labor (IZA)
Subject:	time-series analysis \| internet \| Google \| keyword search \| search engine \| unemployment \| predictions

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Extent:	application/pdf
Series:	IZA Discussion Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	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 Number 4201 2009 pages
Classification:	C22 - Time-Series Models ; C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data ; E17 - Forecasting and Simulation ; E24 - Employment; Unemployment; Wages ; E37 - Forecasting and Simulation
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005004554