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