The 2017 PREDICT Dataset Methodology

Eva Benages (), Laura Hernandez (), Consuelo Minguez (), Juan Perez (), Juan Carlos Robledo (), Jimena Salamanca (), Marta Solaz (), Montserrat López-Cobo and Fiammetta Rossetti
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Eva Benages: University of Valencia and Instituto Valenciano de Investigaciones Económicas (IVIE)
Laura Hernandez: Instituto Valenciano de Investigaciones Económicas (IVIE)
Consuelo Minguez: University of Valencia
Juan Perez: Instituto Valenciano de Investigaciones Económicas (IVIE)
Juan Carlos Robledo: Instituto Valenciano de Investigaciones Económicas (IVIE)
Jimena Salamanca: Instituto Valenciano de Investigaciones Económicas (IVIE)
Marta Solaz: Instituto Valenciano de Investigaciones Económicas (IVIE)

No JRC106713, 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 2017. 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 2017 PREDICT Dataset has been deepened and expanded in this latest version in order to include complementary dimensions, such as the Media and Content sector and sub-sectors. An updated methodology for estimating ICT Government Budget allocations for Research and Development (ICT GBARD) has been applied. Furthermore, for the most important indicators, existing PREDICT time series have been reconstructed back to 1995, while figures are now-casted for 2015 and 2016.

Keywords: R&D; ICT; innovation; statistics; data collection; estimation; nowcasting; digital economy; ICT industry analysis; ICT R&D and innovation (search for similar items in EconPapers)
JEL-codes: C82 O30 O32 O52 (search for similar items in EconPapers)
Pages: 140 pages
Date: 2017-05
New Economics Papers: this item is included in nep-ino
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