A monthly consumption indicator for Germany based on Internet search query data

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...

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Bibliographic details
Volume:	19
Main Author:	Vosen, Simeon Schmidt, Torsten
Format:	Journal Article
Language:	English
Place of publication:	ABINGDON Taylor & Francis 01.05.2012 ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD Taylor and Francis Journals
published in:	Applied economics letters Vol. 19; no. 7; pp. 683 - 687
Data of publication:	5/1/2012
ISSN:	1350-4851 1466-4291
EISSN:	1466-4291
Discipline:	Economics
Series:	Applied Economics Letters
Subjects:	Google Trends consumption coincident indicator forecasting Economics Business & Economics Social Sciences Google Trends consumption coincident indicator forecasting
Online Access:	Fulltext
Database:	Social Sciences Citation Index Web of Science - Social Sciences Citation Index - 2012 Web of Knowledge Web of Science RePEc RePEc IDEAS CrossRef Database information Databases - DBIS