Arbeitspapier
The proper use of Google Trends in forecasting models
It is widely known that Google Trends has become one of the most popular free tools used by forecasters both in academics and in the private and public sectors. There are many papers, from several different fields, concluding that Google Trends improve forecasts' accuracy. However, what seems to be widely unknown, is that each sample of Google search data is different from the other, even if you set the same search term, data and location. This means that it is possible to find arbitrary conclusions merely by chance. This paper aims to show why and when it can become a problem and how to overcome this obstacle.
- Language
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Englisch
- Bibliographic citation
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Series: Texto para discussão ; No. 683
- Classification
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Wirtschaft
- Subject
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Google trends
forecasting
nowcasting
big data
- Event
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Geistige Schöpfung
- (who)
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Medeiros, Marcelo C.
Pires, Henrique
- Event
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Veröffentlichung
- (who)
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Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departamento de Economia
- (where)
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Rio de Janeiro
- (when)
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2021
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Medeiros, Marcelo C.
- Pires, Henrique
- Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departamento de Economia
Time of origin
- 2021