ESSNet workshop, Köln 27 October 2011 Eurostat Laboratory for developments in cross-cutting statistical domains Martina Hahn, Programme manager.

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Presentation transcript:

ESSNet workshop, Köln 27 October 2011 Eurostat Laboratory for developments in cross-cutting statistical domains Martina Hahn, Programme manager

27 October 2011Eurostat Laboratory for developments in cross-cutting statistical domains 2 The Eurostat (ESS) Laboratory Established in 2011 Mission  to assist Eurostat and its partners ESS in timely answering newly emerging statistical needs  to promote innovation and facilitate integration between different domains of European Statistics Operation  Close collaboration with statistical partner units  Eurostat internal and NSI experts  Projects related to Europe 2020, GDP+, SpG on Progress, well-being and sustainable development

27 October 2011Eurostat Laboratory for developments in cross-cutting statistical domains 3 Reconciliation of macro and micro data sources on household’s economic resources Objective:  Enhance the household perspective by complementing average measures of I, C, W with distributional indicators  Guidelines for a coherent approach for I and C by working on EU-SILC and HBS Parallel approach:  Questionnaire comparing macro-micro sources  first results Dec 2011  Central feasibility study of matching NA with EU-SILC & HBS  first estimates mid 2012  Co-secretariat to the joint OECD-Eurostat Expert Group on Disparities in a NA framework  Share and discuss results, methodologies and practices in relevant fora  Produce distributional information consistent with NA on a regular basis Overview on main projects (1)

27 October 2011Eurostat Laboratory for developments in cross-cutting statistical domains 4 Valuation of social transfers in kind in household surveys Objective:  Development of across countries comparable estimates of social transfers in kind at the micro level to improve income distribution statistics from household surveys Incremental approach staring in December 2011:  Comparision of definition and practices across relevant statistics (ESSPROS, health, education, etc.)  Development of proposals to address differences / reconcile practices  Co-operation with NSIs  EU-SILC first, possibly later HBS and other household surveys Overview on main projects (2):

27 October 2011Eurostat Laboratory for developments in cross-cutting statistical domains 5 Improve the coverage of the quality of life dimension in European statistics Objective:  Development of indicators to cover quality of life dimensions in line with the recommendation of the SpG to the ESSC Approach based on data integration (early 2012):  Comprehensive inventory of relevant data  Analyses of relevant micro data, aggregation techniques  Development of approaches to integrate data from different sources  END post: deadline for application 20 November 2011 Overview on main projects (3):

27 October 2011Eurostat Laboratory for developments in cross-cutting statistical domains 6 Poverty and social exclusion indicator of the Europe 2020 strategy Objective:  Data quality measurement and improvement  Additional publications based on existing data Approach based on data analyses:  Focus on particular sub-populations (based on EU-SILC data)  Consistency checks between data and metadata (national quality reports)  Test of different methods for accuracy measurement  Reconciliation between EU-SILC longitudinal and cross-sectional components  NSI consultations bilateral and through relevant EU-SILC fora Main deliverables:  Publications of results of the indicator analyses  SAS macros (accuracy measurement, longitudinal weight checking)  Guidelines for MS (on sampling design recording, longitudinal weighting and process streamlining) Overview on main projects (4):

27 October 2011Eurostat Laboratory for developments in cross-cutting statistical domains 7 Regional dimension of the social indicators of the Europe 2020 strategy Objective:  Development of regional estimates (NUTS 2) for the social headline indicators Modelling approach (starting in early 2012):  Inventory of relevant data available at regional level  Small area estimation, regional modelling  Involvement of network of small area estimation experts and of NSIs Overview on main projects (5):

27 October 2011Eurostat Laboratory for developments in cross-cutting statistical domains 8 Development of an indicator on research infrastructures in the framework of Europe 2020 Objective  Monitoring one aspect of progress in developing the European Research Area Phased approach :  Clarifying of stakeholders’ needs  Developing options  Possible MS involvement to be assessed  Piloting and feasibility testing of preferred option Overview on main projects (6):

27 October 2011Eurostat Laboratory for developments in cross-cutting statistical domains 9 Statistical underpinning of the flagship initiative on resource efficiency in the framework of Europe 2020 Objective:  Development of indicators to serve the monitoring of the Commission roadmap on resource efficiency Co-ordinated approach (early 2012):  Inventory of relevant data and activities involving various data providers  Assessment of data sources and development perspectives  Indicator development Overview on main projects (7):

27 October 2011Eurostat Laboratory for developments in cross-cutting statistical domains 10 Improvement of Europe 2020 quality profiles Objective  Facilitate production of quality profiles and improve their coherence with related information. Top down approach  Harmonisation with ESMS (SDMX compliant)  Integration with fact sheets for environmental indicators  Alignment of grading methodology Overview on main projects (8):