Ordinal Variables and the Measurement of Polarization
AbstractThis paper aims at proposing measures of polarization for the distribution of a variable when information on the latter is only ordinal. The measures proposed are borrowed from the recent literature on the measurement of segregation. An empirical illustration is given, based on the European Union Statistics on Income and Living Conditions (EU-SILC) for the year 2008. The ordinal variable refers to the ?ability to make ends meet? and polarization is measured between groups defined by the citizenship of the household member who answered the household questionnaire. Results show that Luxembourg and Estonia have the highest degree of polarization whereas Cyprus, Ireland and the United Kingdom display the lowest degree.
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Bibliographic InfoPaper provided by CEPS/INSTEAD in its series CEPS/INSTEAD Working Paper Series with number 2011-33.
Length: 32 pages
Date of creation: May 2011
Date of revision:
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More information through EDIRC
polarization; ordinal information; EU-SILC; segregation;
Find related papers by JEL classification:
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-05-30 (All new papers)
- NEP-CWA-2011-05-30 (Central & Western Asia)
- NEP-EUR-2011-05-30 (Microeconomic European Issues)
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.:
- Abul Naga, Ramses H. & Yalcin, Tarik, 2008.
"Inequality measurement for ordered response health data,"
Journal of Health Economics,
Elsevier, vol. 27(6), pages 1614-1625, December.
- Ramses H. Abul Naga & Tarik Yalcin, 2007. "Inequality Measurement forOrdered Response Health Data," STICERD - Distributional Analysis Research Programme Papers 92, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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