Official statistical surveys are still the best sources of data in terms of quality. Practically, they are the only ones that apply random sampling and the legal obligation to respond makes the actual sample very close to the targeted one. No other approach to data collection can hope to do as well.
The European Union Statistics on Income and Living Conditions (EU-SILC) is an instrument aiming at collecting timely and comparable cross-sectional and longitudinal multidimensional microdata on income, poverty, social exclusion and living conditions. It started in 2003 with a small group of participant countries, and was enlarged in 2004. It is one of the richest sources of information on the daily life conditions of Europeans.
EU-SILC data are available for research use, but many barriers exist and these data are actually underutilized. On the one hand, the fact that access is legally authorised does not make it practically straightforward – the application process can be lengthy and costly. On the other hand, the very handling of data requires some specific knowledge and skills.
The Data without Boundaries European initiative, aimed at moving forward research access to official data, organises a training programme on EU‐SILC with a specific focus on the longitudinal component. Local organization lies with Réseau Quetelet, host of the training course is GENES ‐ Groupe des Écoles Nationales d’Économie et Statistique both in Paris (France).
The course is aimed at post graduate and senior researchers from throughout Europe who are seeking to conduct research on the basis of the EU‐SILC. Besides highlighting the legal and administrative aspects of data access the course will demonstrate the possibilities of the EU‐SILC in a hands‐on computer session which will explore the potential for both international as well as longitudinal analysis. Basic understanding in multivariate statistical methods and Stata will be required.
The course will take place in Paris, France from the 19th to the 21st of February 2014 and will consist of:
Part I: Overview of European Data from Official Statistics
Part II: Introduction to SILC
Part III: Practical Training Session
The course is funded by the project so attendance is *free*, but participants will have to cover their own expenses for travel and accommodation.
Interested parties should send a short application letter (max. 500 words) explaining their motivation to participate in this course to 3rd‐dwb‐email@example.com
Deadline for applications is January 17th, 2014. For further information please see the project’s website.
The call can be downloaded here.