JRC Data Catalogue
DATASETCompleted

Italy nowcasting

QR code

Monthly data set of conventional and uncoventional variables for economic nowcasting in Italy. 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.

Contributors

How to cite

European Commission, Joint Research Centre (2026): Italy nowcasting. [Dataset] doi: 10.2905/JRC.CF4P8F0 PID: http://data.europa.eu/89h/f4c8d036-dad0-4cb8-8afa-3824b7c2f767

Keywords

big dataeconomic forecastingitalynowcasting

Data access

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Publications

Publication
Barbaglia, Luca and Frattarolo, Lorenzo and Onorante, Luca and Tiozzo Pezzoli, Luca and Pericoli, Filippo M. and Ratto, Marco, Testing Big Data in a Big Crisis: Nowcasting under COVID-19 (2022). International Journal of Forecasting.

Temporal coverage

From date To date
1995-01-01 2022-09-01

Additional information

Published by
European Commission, Joint Research Centre
Contact email
luca.onorante (at) ec.europa.eu
Update frequency
weekly

The event occurs once a week.

Data theme(s)
Economy and finance

dataset theme covering the domains of economic activity which involves production, distribution, trade, and consumption of goods and services, and finance activity focusing on the management of money at the individual, company, or government level

Geographical name(s)
Issued date
2022-07-27
Created date
27 Jul 2022 13:55
Modified date
23 Jan 2023 10:10
Dataset identifier
Other identifiers
Rate this page
Please vote (optional).
An unhandled error has occurred. Reload 🗙