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The 2021 PREDICT Dataset Methodology

Eva Benages, Laura Hernández, Consuelo Mínguez, Fernando Pascual, Juan Carlos Robledo, Inés Rosell, Jimena Salamanca, Marta Solaz, Riccardo Righi (), Sofia Samoili and Miguel VAZQUEZ-PRADA BAILLET Mguel ()
Additional contact information
Riccardo Righi: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en
Miguel VAZQUEZ-PRADA BAILLET Mguel: European Commission - JRC, https://joint-research-centre.ec.europa.eu/index_en

No JRC126918, 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 in 2021. 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. Since 2017, an updated methodology for estimating Government budget allocations for ICT R&D (ICT GBARD) is applied. Furthermore, for the most important indicators, PREDICT time series have been reconstructed back to 1995, while the main indicators are nowcasted for 2019 and 2020, thus providing comparable time series from 1995 to 2020. In this edition, an additional section addresses the methodological issues arising with nowcasting in times of the COVID crisis.

Keywords: methodology; R&D; ICT; innovation; statistics; digital economy; ICT industry analysis; ICT R&D and innovation (search for similar items in EconPapers)
Date: 2022-03
New Economics Papers: this item is included in nep-ppm
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