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The 2017 PREDICT Dataset Methodology

Author

Listed:
  • 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))

  • Montserrat Lopez-Cobo

    (European Commission - JRC)

  • Fiammetta Rossetti

    (European Commission - JRC)

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.

Suggested Citation

  • Eva Benages & Laura Hernandez & Consuelo Minguez & Juan Perez & Juan Carlos Robledo & Jimena Salamanca & Marta Solaz & Montserrat Lopez-Cobo & Fiammetta Rossetti, 2017. "The 2017 PREDICT Dataset Methodology," JRC Research Reports JRC106713, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc106713
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC106713
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    References listed on IDEAS

    as
    1. Anna Sabadash, 2013. "ICT Employment Statistics in Europe: Measuring Methodology," JRC Research Reports JRC84122, Joint Research Centre.
    2. Matilde Mas & Juan Carlos Robledo & Juan Pérez, 2012. "ICT Sector Definition Transition from NACE Rev. 1.1 to NACE Rev. 2: A Methodological Note," JRC Research Reports JRC77364, Joint Research Centre.
    3. repec:ipt:wpaper:jrc84122 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    R&D; ICT; innovation; statistics; data collection; estimation; nowcasting; digital economy; ICT industry analysis; ICT R&D and innovation;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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