Artikel

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.

Language
Englisch

Bibliographic citation
Journal: Applied Economics Letters ; ISSN: 1466-4291 ; Volume: 19 ; Year: 2012 ; Issue: 7 ; Pages: 683-687 ; Abingdon: Routledge

Classification
Wirtschaft
Forecasting Models; Simulation Methods
Macroeconomics: Consumption; Saving; Wealth
Macroeconomics: Consumption, Saving, Production, Employment, and Investment: Forecasting and Simulation: Models and Applications
Subject
Google Trends
consumption
forecasting
coincident indicator

Event
Geistige Schöpfung
(who)
Vosen, Simeon
Schmidt, Torsten
Event
Veröffentlichung
(who)
Routledge
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
(where)
Abingdon
(when)
2012

DOI
doi:10.1080/13504851.2011.595673
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Vosen, Simeon
  • Schmidt, Torsten
  • Routledge
  • ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft

Time of origin

  • 2012

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