Extreme incomes and the estimation of poverty and inequality indicators from EU-SILC
Micro-data estimates of welfare indices are known to be sensitive to observations from the tails of the income distribution. It is therefore customary to make adjustments to extreme data before estimating inequality and poverty statistics. This paper systematically evaluates the impact of such adjustments on indicators estimated from the EU-SILC (Community Statistics on Income and Living conditions) which is expected to become the reference source for comparative statistics on income distribution and social exclusion in the EU. Emphasis is put on the robustness of cross-country comparisons to alternative adjustments. Results from a sensitivity analysis considering both simple, classical adjustments and a more sophisticated approach based on modelling parametrically the tails of the income distribution are reported. Reassuringly, ordinal comparisons of countries are found to be robust to variants of data adjustment procedures. However, data adjustments are far from innocuous. Cardinal comparisons of countries reveal sensitive to the treatment of extreme incomes, even for seemingly small adjustments.
|Date of creation:||Feb 2007|
|Date of revision:|
|Contact details of provider:|| Postal: 11, Porte des Sciences, L-4366 Esch-sur-Alzette, G.-D. Luxembourg|
Phone: 00352 / 58 58 55 - 1
Fax: 00352 / 58 58 55 - 700
Web page: http://iriss.ceps.lu/
More information through EDIRC
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.:
- Frank A. Cowell & Maria-Pia Victoria-Feser, 2002. "Welfare Rankings in the Presence of Contaminated Data," Econometrica, Econometric Society, vol. 70(3), pages 1221-1233, May.
When requesting a correction, please mention this item's handle: RePEc:irs:iriswp:2007-01. 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: (Philippe Van Kerm)
If references are entirely missing, you can add them using this form.