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 information beyond that already captured in other macroeconomic variables.

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Year of publication:	2012
Authors:	Vosen, Simeon ; Schmidt, Torsten
Published in:	Applied Economics Letters. - Abingdon : Routledge, ISSN 1466-4291. - Vol. 19.2012, 7, p. 683-687
Publisher:	Abingdon : Routledge
Subject:	Google Trends \| consumption \| forecasting \| coincident indicator

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Type of publication:	Article
Type of publication (narrower categories):	Article
Language:	English
Other identifiers:	10.1080/13504851.2011.595673 [DOI] 861749154 [GVK] hdl:10419/141447 [Handle] RePEc:zbw:espost:141447 [RePEc]
Classification:	C53 - Forecasting and Other Model Applications ; E21 - Consumption; Saving ; E27 - Forecasting and Simulation
Source:	EconStor

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011479058