Metadata for Official Statistics

Training Materials

Second DwB Training Course

Title Working with data from official statistics in Europe – particularly the European Union Statistics on Income and Living Conditions (EU-SILC)
Dates 13 – 15 February 2013
Location Romanian Social Data Archive at the Department of Sociology (University of Bucharest, Romania)
Description

Data without Boundaries organizes in cooperation with Eurostat a series of three-day training courses on integrated Eurostat datasets.

This second course was particularly focussed on the European Union Statistics on Income and Living Conditions (EU-SILC) and was hosted by the Romanian Social Data Archive at the Department of Sociology (University of Bucharest, Romania). Other partners involved in this course were GESIS (Mannheim, Germany), UK Data Archive (Essex), Réseau Quetelet (Paris), Institut National de la Statistique et des Etudes Economiques (Paris) and Eurostat (Luxembourg).

The course was targeted 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 demonstrated the possibilities of the EU-SILC in a hands-on computer sessions which explored the potential for both international as well as longitudinal analysis by using multivariate statistical methods and SPSS/Stata.


Download
Introduction to EU-SILC B. Genev (Eurostat) [.ppt]
Introduction to SILC from a Research Perspective H. Wirth (GESIS) [.pdf]
Documentation and Additional Resources A. Mack (GESIS) [.ppt]
Introduction to Training Dataset A. Mack (GESIS) [.ppt]
Practical Computing Session I H. Wirth & A. Mack (GESIS) Syntax files Stata: [.zip]
Syntax files SPSS: [.zip]

Exercise 1a: [.ppt]
Exercise 1b: [.ppt]
Practical Computing Session II H. Wirth & A. Mack (GESIS) Exercise 1c: [.ppt]
Exercise 2: [.ppt]

Third DwB Training Course

Title Working with data from official statistics in Europe – particularly the European Union Statistics on Income and Living Conditions (EU-SILC) longitudinal component
Dates 19 – 21 February 2014
Location GENES - Groupe des Écoles Nationales d'Économie et Statistique (Paris, France)
Description

One of the core objectives of Data without Boundaries is to promote the use of integrated official statistics in Europe. The Data without Boundaries project seeks to inform the research community on possibilities for application and the potential for social enquiry of official European microdata.

To this aim Data without Boundaries, in cooperation with Eurostat, is organizing a series of three day training courses on integrated Eurostat datasets. Courses will provide information on available microdata in Europe as well as ways to access these data.

This third course focused on the European Union Statistics on Living Conditions (EU-SILC) with a specific focus on the longitudinal component. It was hosted in Paris (France) by GENES - Groupe des Écoles Nationales d'Économie et Statistique - and local organisation was supported by Réseau Quetelet. Other partners involved in this course are Eurostat (Luxembourg), GESIS-Leibniz Institute for the Social Sciences (Mannheim), the Economic and Social Research Institute (Ireland), and INSEE-Institut National de la Statistique et des Etudes Economiques (Paris).

The course was 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 demonstrated the possibilities of the EU-SILC in a hands‐on computer session which explored the potential for both international as well as longitudinal analysis.


Download
Introduction to EU-SILC B. Genev (Eurostat) [.ppt]
EU-SILC Longitudinal for Studying Well-being S. Lollivier (INSEE) [.ppt]
EU-SILC Longitudinal from Research Perspective H. Wirth & C. Wolf (GESIS) [.ppt]
Data Structure, Documentation & Additional Resources H. Wirth (GESIS) [.ppt]
Introduction to Training Dataset H. Wirth and C. Wolf (GESIS) [.ppt]
Practical Computing Session Exercises & Syntaxes Files: [.zip]
Explanation note: [.doc]