IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Using EU-SILC data for cross-national analysis: strengths, problems and recommendations

  • Iacovou, Maria
  • Kaminska, Olena
  • Levy, Horacio

The EU’s Statistics on Income and Living Conditions (EU-SILC), launched in 2003, was the first micro-level data set to provide comprehensive data on incomes and other social and economic domains over the enlarged EU. This paper draws on two programmes of research to ask how well the EU-SILC has met the objectives with which it was designed. We focus on three areas: sampling and design, household dynamics, and incomes. In each domain the EU-SILC forms a unique and useful resource, but we also find problems and shortcomings, some of which could be rectified relatively easily, for the majority of countries.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: https://www.iser.essex.ac.uk/research/publications/working-papers/iser/2012-03.pdf
Download Restriction: no

Paper provided by Institute for Social and Economic Research in its series ISER Working Paper Series with number 2012-03.

as
in new window

Length:
Date of creation: 17 Feb 2012
Date of revision:
Publication status: published
Handle: RePEc:ese:iserwp:2012-03
Contact details of provider: Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
Phone: 44-1206-872957
Fax: 44-1206-873151
Web page: https://www.iser.essex.ac.uk/
Email:


More information through EDIRC

Order Information: Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
Web: https://www.iser.essex.ac.uk/publications/ Email:


References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Maria Iacovou & Alexandra J. Skew, 2011. "Household composition across the new Europe: Where do the new Member States fit in?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(14), pages 465-490, August.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ese:iserwp:2012-03. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Paul Groves)

The email address of this maintainer does not seem to be valid anymore. Please ask Paul Groves to update the entry or send us the correct address

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.