Description
Monthly data set of conventional and uncoventional variables for economic nowcasting in Germany. The variables are aggregated monthly by averaging the latest available value at the time of the data update. The data set gathers country-specific traditional macro-economic series from statistical agencies, as well as big data alternative variables that can provide timely signals of economic developments. Examples of big data variables are text-based sentiment measures, indicators of media attention on economic topics or air quality indicators. For details on the application of the data set for economic nowcasting, check out the work by Barbaglia et al., “Testing Big Data in a Big Crisis: Nowcasting under COVID-19”
(2022), International Journal of Forecasting.
Contact
Contributors
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- Lorenzo Frattarolo
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0000-0002-9732-4890
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- Luca Barbaglia
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0000-0001-5930-5392
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- Luca Onorante
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- Luca Tiozzo Pezzoli
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- Marco Ratto
How to cite
Lorenzo Frattarolo; Luca Barbaglia; Luca Onorante; Luca Tiozzo Pezzoli; Marco Ratto (2022): Germany nowcasting. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/08d7791f-ab85-4f5e-8b55-e768e7c0514a
Keywords
big data economic forecasting germany nowcasting
Data access
Publications
Geographic areas
Temporal coverage
| From date | To date |
|---|---|
| 1995-01-01 | 2022-09-01 |
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2022-07-27
- Modified date
- 2023-01-23
- Issued date
- 2022-07-27
- Data theme(s)
- Economy and finance
- Update frequency
- weekly
- Identifier
- http://data.europa.eu/89h/08d7791f-ab85-4f5e-8b55-e768e7c0514a
- Popularity
-