The LABB System: Advancing Swiss Educational Research with Longitudinal Data
The LABB System, led by Dr. Jacques Babel at FSO, focuses on longitudinal analyses in Swiss education. Leveraging AHV numbers for data integration, the project aims to enhance understanding of the Swiss educational system through trajectory analyses. The team includes dedicated members like Francesco Lagan and Jana Vesel. Constantly evolving with new data sources and linkages, the LABB System already integrates data from various surveys and registers. This initiative holds promise for promoting consistent longitudinal results in educational research.
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The LABB-System Jacques Babel, Dr., Head of LABB, FSO 14.2.2019 / Swiss Longitudinal Data Fair Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019 1
Why LABB? Need to take profit of the new possibilities offered by the availability of the AHV number (Personal Identification Number) in many official statistics in Switzerland FSO-Project started in 2014 LABB (Longitudinal analyses in the field of education) Goals: Better measure the Swiss educational system through analyses of trajectories and processes Promote the dissemination of consistent longitudinal results Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
Members of the LABB team at FSO Francesco Lagan , Dr. Pascal Strubi Jana Vesel , Dr. Laurent Gaillard Julie Falcon , Dr. Jacques Babel, Dr. Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
The LABB system is constantly developing New data sources - registers and surveys - are regularly added This involves: Longitudinal linkage in order to observe trajectories in education or at the labour market interface. Cross-sectional linkages to add contextual information to the trajectory like the migration status, parental educational, detailed geographic information or educational outcomes (e.g. employment and income). Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
Data from several sources have already been integrated Source Period Type Approx. number of persons in a cohort Education statistics (2012 to 2016) 2012-1016 Comprehensive 100 000 Population and household register 2010-2016 Comprehensive 100 000 PLASTA from SECO 2011-2016 Comprehensive 100 000* Central Compensation Office Data + STATENT (integration in validation) 2011-2016 Comprehensive 100 000* Structural survey 2010-2016 Survey 10 000 / 3 000 Earnings Structure survey (integration in validation) 2012/2014/2016 Survey 20 000* * Limitations on age or status Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019 6
Challenges Integration of many sources Consistency, complexity of the various sources (e.g. competing sequences between sources) Providing reference longitudinal micro data files Implementation of a common methodology for longitudinal data processing of registers Diffusion of files dedicated for special purposes (HSF Files, Spell Files) Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
Data availability Production and diffusion of ready-to-use linked data to academic and institutional partners in order to facilitate analysis. LABB Files (microdata) are available with a Data Protection Contract. Only administrative costs for academics (about CHF 100) Many data are already linked: no need to apply for data linkages and linkages have already been checked! Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
Advantages / Drawbacks + Studying detailed processes: Data available on the entire cohort + Comparing cohorts: Each year, new cohorts added to the available data + Observe an attrition free process - Data are complex (involves various types of sources with different perspectives). - Many indirect measures. For instance a drop-out event is deduced from the absence of someone in a register => Need to be cautious Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
Example 1: Dynamics of trajectories Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
Example 2: Intercohort changes Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
Example 3: Spatial complexity of key-indicators Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019
Questions? LABB hands-on session this afternoon Visit: www.labb.bfs.admin.ch Contact : eduperspectives@stat.admin.ch Jacques Babel, Dr., FSO | The LABB-System | Swiss Longitudinal Data Fair | 14.2.2019