Lessons derived from the crisis for social statistics

1. Lessons derived from the crisis for social statistics Agenda point 3.1 Meeting of the European Directors of Social Statistics

2. Structure of the presentation • Background. • Social statistics: state of play. • First outlines for statistical solutions. Point 3.1. Lessons derived from the crisis for social statistics

3. Background • Since August 2008: global economic crisis Financial turmoileconomic recessioneffects on the labour market social consequences • Role of statisticians in the crisis/post-crisis periods • Predicting the crisis(« early warning system »); • Monitoring the consequences of the crisis / effects of recovery measures. • Lessons from the current crisis for social statistics: • Substantial political needs for monitoring the social impact of the crisis and the effect of policy responses; • Currentlack of responsiveness of social statistics; Actions to be implemented to be better prepared for future crises. Point 3.1. Lessons derived from the crisis for social statistics

4. Social statistics: state of play • Current strong points: • A lot of already/soon available sources; • Solid legal bases; • Good quality of data collected; • Use of administrative data (e.g.ESSPROS, SHA); • Transmission of micro data (e.g. LFS, SILC). • Axes for improvement (identified with users): • Better use of available data; • Improve responsiveness: • Timeliness; • Information gaps; • Flexibility. Point 3.1. Lessons derived from the crisis for social statistics

5. Statistical solutions (1/4) • Use of already available data: • Recent progress in dissemination/communication • EUROSTAT website; • Dedicated sections; • « Statistics explained »; • SIF; • Release of data to researchers; • Adequate, user-oriented, communication is paramount. • In a near future: • multidisciplinary analyses; • study of targeted groups (e.g. migrants, early school leavers); • more proactive and focused dissemination policy. Point 3.1. Lessons derived from the crisis for social statistics

6. Statistical solutions (2/4) • Improve responsiveness in future, i.e.: • Improve timeliness: • Structural improvement of statistical tools (e.g. long-term harmonisation of the rotation pattern of the LFS); • Harmonise fieldwork periods (one of the possible options for SILC); • Share process/tools (e.g. LFS); • Improve timeliness of administrative data (e.g. for immigration from 3rd countries); • Produce new quick key indicators (e.g. proposal to produce SILC quick key-indicators). • Increase the frequency of data provision (increase the frequency of data collection on residence permits?) Point 3.1. Lessons derived from the crisis for social statistics

7. Statistical solutions (3/4) • Fill information gaps • Extend the scope of existing tools (e.g. additional information on job vacancies); • Collect additional structural information (e.g. minimum income and private pensions for ESSPROS) . Point 3.1. Lessons derived from the crisis for social statistics

8. Statistical solutions (4/4) • Improve flexibility: set up mechanism in case of emergency • Some actions already implemented at national level (FR, AT, SK, UK, PL). • set up new responsive monitoring tools (e.g. short NPN modules); • possible use of LFS/ICT as rapid-response tools in case of emergency (additional short-term questions)? Point 3.1. Lessons derived from the crisis for social statistics

9. Issues for discussion The DSS are invited to share their national experiences and to comment on the proposed statistical solutions. Point 3.1. Lessons derived from the crisis for social statistics

10. Thank you for your attention! Point 3.1. Lessons derived from the crisis for social statistics