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Ordinal Variables and the Measurement of Polarization

Author

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  • FUSCO Alessio
  • SILBER Jacques

Abstract

This 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.

Suggested Citation

  • FUSCO Alessio & SILBER Jacques, 2011. "Ordinal Variables and the Measurement of Polarization," LISER Working Paper Series 2011-33, LISER.
  • Handle: RePEc:irs:cepswp:2011-33
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    References listed on IDEAS

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    1. 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.
    2. repec:jid:journl:y:2006:v:15:i:i:p:42-54 is not listed on IDEAS
    3. Ma Casilda Lasso de la Vega & Ana Marta Urrutia, 2006. "An Alternative Formulation of the Esteban-Gradín-Ray Extended Measure of Polarization," Journal of Income Distribution, Journal of Income Distribution, vol. 15(3-4), pages 42-54, December.
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    Cited by:

    1. Francesco Andreoli & Claudio Zoli, 2012. "On the Measurement of Dissimilarity and Related Orders," Working Papers 274, ECINEQ, Society for the Study of Economic Inequality.

    More about this item

    Keywords

    polarization; ordinal information; EU-SILC; segregation;

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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