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

Torsten Schmidt and Simeon Vosen

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.

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Year of publication:	2012
Authors:	Schmidt, Torsten ; Vosen, Simeon
Publisher:	[Abingdon] : [Routledge]
Subject:	Google Trends \| consumption \| forecasting \| coincident indicator \| Deutschland \| Germany \| Wirtschaftsindikator \| Economic indicator \| Prognoseverfahren \| Forecasting model \| Suchmaschine \| Search engine \| Verbrauchervertrauensindex \| Consumer confidence index \| Internet \| Konsumentenverhalten \| Consumer behaviour

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Extent:	1 Online-Ressource (circa 27 Seiten) Illustrationen
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Graue Literatur ; Non-commercial literature
Language:	English
Notes:	Sonderausgabe aus: Applied economics letters ; 19,7
Other identifiers:	10.1080/13504851.2011.595673 [DOI] hdl:10419/141447 [Handle]
Classification:	C53 - Forecasting and Other Model Applications ; E21 - Consumption; Saving ; E27 - Forecasting and Simulation
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011488565