Google econometrics and unemployment forecasting

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: DIW Discussion Papers ; No. 899

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes ; Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access ; General Aggregative Models: Forecasting and Simulation: Models and Applications ; Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity ; Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
• Subject: Google ; internet ; keyword search ; search engine ; unemployment ; predictions ; timeseries analysis ; Internet-Portal ; Datenqualität ; Suchmaschine ; Arbeitslosigkeit ; Prognoseverfahren ; Arbeitsmarktprognose ; Vergleich ; Zeitreihenanalyse ; Schätzung ; Deutschland

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Askitas, Nikolaos ; Zimmermann, Klaus F.
• Event: Veröffentlichung
• (who): Deutsches Institut für Wirtschaftsforschung (DIW)
• (where): Berlin
• (when): 2009

Further information

• Handle: http://hdl.handle.net/10419/29809
• Last update: 10.03.2025, 11:44 AM CET