文章基本信息

标题：Google Econometrics and Unemployment Forecasting
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作者：Nikolaos Askitas ; Klaus F. Zimmermann
期刊名称：DIW Diskussionspapiere / Deutsches Institut für Wirtschaftsforschung, Berlin
出版年度：2009
卷号：2009
出版社：Deutsches Institut für Wirtschaftsforschung, Berlin
摘要：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.
关键词：Google, internet, keyword search, search engine, unemployment, predictions, timeseries analysis