Isabelle Rémond-Tiedrez European Commission, Eurostat

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Presentation transcript:

Labour productivity indicators for the EU28 Member States: Quality Adjusted Labour Input Isabelle Rémond-Tiedrez European Commission, Eurostat José M. Rueda-Cantuche European Commission, Joint Research Center

Outline QALI in European Union Project background Methodology of QALI Data sources for QALI Constraints of data sources Results and applications

Project background Competitiveness project Regular production of coherent set of competitiveness dashboard (35 indicators) European Statistical System statistics (30/35) + OECD, WorldBank One part: productivity measures Quality Adjusted Labour Index Capital indicators (estimation of a set of capital indicators - (net) fixed capital stock; gross fixed capital formation by 7 asset categories (AN_F6) and 10 industries (NACE Rev. 2, A*10); in current prices and in volume )

Methodology of QALI Törnqvist index: weights are labour income shares National Accounts aggregates benchmarked hours worked and compensation of employees Workers groups Age: 3 categories Skill: 3 categories Industry breakdown: 10 or 21 Same methodology for all EU Member States (macro level not micro data linking)

Data sources for QALI SES/SILC hours % by Skill/Age NA Hours LFS Annual Hours % by Skill/Age SES/SILC Earnings/hour % by Skill/Age NA Hours NA Compensation of Employees NA Hours by Skill/Age NA Compensation of Employees by Skill/Age Surveys Annual Earnings % by Skill/Age SES/SILC Earnings % by Skill/Age SES/SILC hours % by Skill/Age QALI by Skill/Age

Constraints of data sources Confidentiality and reliability dissemination constraints Coverage : EU-SIL for Agriculture activities Interpolation of data sources: SES 2002, 2006, 2010 Change of NACE classification

Results EU 2014 composition of labour force per age

Result (2) EU employment by skill level

Results (3) EU index

Applications EU 2014 Employment embodied in exports