Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/141447
Authors: 
Vosen, Simeon
Schmidt, Torsten
Year of Publication: 
2012
Citation: 
[Journal:] Applied Economics Letters [ISSN:] 1466-4291 [Publisher:] Routledge [Place:] Abingdon [Volume:] 19 [Issue:] 7 [Pages:] 683-687
Abstract: 
This study introduces a monthly coincident indicator for consumption in Germany based on Google Trends data on web search activity. In real-time nowcasting experiments the indicator outperforms common survey-based indicators in predicting consumption. Unlike those indicators, it provides predictive information beyond that already captured in other macroeconomic variables.
Subjects: 
Google Trends
consumption
forecasting
coincident indicator
JEL: 
C53
E21
E27
Persistent Identifier of the first edition: 
Document Type: 
Article

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