The PREDICT Dataset Methodology

Eva Benages, Consuelo Mínguez, Fernando Pascual, Juan Carlos Robledo, Jimena Salamanca, Michail Papazoglou, Riccardo Righi (), Juan Torrecillas Jodar () and Miguel Vazquez-Prada Baillet ()
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Riccardo Righi: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Juan Torrecillas Jodar: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Miguel Vazquez-Prada Baillet: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en

No JRC130001, JRC Research Reports from Joint Research Centre

Abstract: This methodological report details the work done in the Prospective Insights on R&D in ICT (PREDICT) project to produce the PREDICT Dataset. PREDICT provides updated indicators for the Information and Communication Technologies (ICT) sector and for its Research and Development (R&D) in the European Union and in the major ICT leaders worldwide. This project is being carried out jointly by the Joint Research Centre, Directorate B and the Directorate General for Communications Networks, Content and Technology (DG CNECT) of the European Commission. The data and methodologies have been developed in collaboration with the Valencian Institute of Economic Research (Ivie). The PREDICT Dataset has been deepened and expanded along the years in order to include complementary dimensions, such as the Media and Content sector. Furthermore, for the most important indicators, PREDICT time series have been reconstructed back to 1995, while the main indicators are nowcasted for two additional most current years, thus providing comparable time series for more than 25 years. An additional section addresses the methodological issues arising with nowcasting in times of the COVID crisis.

Keywords: R&D; ICT; innovation; statistics; digital economy; ICT industry analysis; ICT R&D and innovation (search for similar items in EconPapers)
Date: 2022-08
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