IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

How to Use the EU-SILC Panel to Analyse Monthly and Hourly Wages

  • Melissa Engel
  • Sandra Schaffner


The European Union Statistics on Income and Living Conditions (EU-SILC) is a rotational panel provided by Eurostat that covers important variables over all EU Member States. Unfortunately, Eurostat provides separate data sets which do not cover all waves. Furthermore, information on monthly income and hourly wages are missing. In this paper, we make two contributions: first, we develop a method for combining the different waves in order to increase the number of observations; second, we derive monthly and hourly pay.

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:
Download Restriction: no

Paper provided by Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen in its series Ruhr Economic Papers with number 0390.

in new window

Length: 20 pages
Date of creation: Dec 2012
Date of revision:
Handle: RePEc:rwi:repape:0390
Contact details of provider: Postal: Hohenzollernstraße 1-3, 45128 Essen
Phone: (0201)8149-0
Fax: (0201)8149-200
Web page:

More information through EDIRC

Order Information: Web:

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. Aristei, David & Perugini, Cristiano, 2015. "The drivers of income mobility in Europe," Economic Systems, Elsevier, vol. 39(2), pages 197-224.
  2. repec:ese:iserwp:2012-03 is not listed on IDEAS
  3. Christopher T. Whelan & Bertrand Maitre, 2012. "Identifying Childhood Deprivation: How Well Do National Indicators of Poverty and Social Exclusion in Ireland Perform?," The Economic and Social Review, Economic and Social Studies, vol. 43(2), pages 251–272.
  4. Marilena Giannetti & Daniela Federici & Michele Raitano, 2009. "Migrant remittances and inequality in Central-Eastern Europe," International Review of Applied Economics, Taylor & Francis Journals, vol. 23(3), pages 289-307.
  5. Nicholas T. Longford & Maria Grazia Pittau & Roberto Zelli & Riccardo Massari, 2012. "Poverty and inequality in European regions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(7), pages 1557-1576, January.
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:rwi:repape:0390. 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: (Sabine Weiler)

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.