IDEAS home Printed from https://ideas.repec.org/p/irs/cepswp/2011-33.html
   My bibliography  Save this paper

Ordinal Variables and the Measurement of Polarization

Author

Listed:
  • 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, Luxembourg Institute of Socio-Economic Research (LISER).
    • Handle: RePEc:irs:cepswp:2011-33
    as

    Download full text from publisher

    File URL: https://www.liser.lu/publi_viewer.cfm?tmp=2765
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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, Ad libros publications inc., vol. 15(I), pages 42-54, December.
    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, Ad libros publications inc., vol. 15(3-4), pages 42-54, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabio Clementi & Francesco Schettino, 2013. "Income polarization in Brazil, 2001-2011: A distributional analysis using PNAD data," Economics Bulletin, AccessEcon, vol. 33(3), pages 1796-1815.
    2. Satya Chakravarty & Bhargav Maharaj, 2012. "Ethnic polarization orderings and indices," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 99-123, May.
    3. Ma Casilda Lasso de la Vega & Ana Urrutia & Henar Díez, 2010. "Unit Consistency And Bipolarization Of Income Distributions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(1), pages 65-83, March.
    4. Juan Gabriel Rodríguez, 2004. "Measuring polarization, inequality, welfare and poverty," Economic Working Papers at Centro de Estudios Andaluces E2004/75, Centro de Estudios Andaluces.
    5. Michal Brzezinski, 2013. "Income polarization and economic growth," Working Papers 296, ECINEQ, Society for the Study of Economic Inequality.
    6. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    7. Sandra Rodríguez, 2018. "[Resena] Lo que sabemos y lo que aún falta saber sobre la salud en Colombia," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 12(2), pages 205-213, December.
    8. Tugce, Cuhadaroglu, 2013. "My Group Beats Your Group: Evaluating Non-Income Inequalities," SIRE Discussion Papers 2013-49, Scottish Institute for Research in Economics (SIRE).
    9. Bénédicte Apouey & Jacques Silber, 2013. "Inequality and Bi-Polarization in Socioeconomic Status and Health: Ordinal Approaches," Research on Economic Inequality, in: Health and Inequality, volume 21, pages 77-109, Emerald Group Publishing Limited.
    10. Stephen P. Jenkins, 2021. "Inequality Comparisons with Ordinal Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 547-563, September.
    11. Mohammad Abu‐zaineh & Sameera Awawda, 2022. "Measurement of Social Welfare and Inequality in Presence of Partially-ordered Variables," Working Papers hal-03904449, HAL.
    12. Iñaki Permanyer & Diederik Boertien, 2019. "A century of change in global education variability and gender differences in education," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-22, February.
    13. Fatiha Bennia & Nicolas Gravel & Brice Magdalou & Patrick Moyes, 2022. "Is body weight better distributed among men than among women? A robust normative analysis for France, the UK, and the US," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(1), pages 69-103, January.
    14. Bénédicte H. Apouey & Jacques Silber, 2016. "Performance and Inequality in Health: A Comparison of Child and Maternal Health across Asia," Research on Economic Inequality, in: Inequality after the 20th Century: Papers from the Sixth ECINEQ Meeting, volume 24, pages 181-214, Emerald Group Publishing Limited.
    15. Adi Lazar & Jacques Silber, 2013. "On The Cardinal Measurement Of Health Inequality When Only Ordinal Information Is Available On Individual Health Status," Health Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 106-113, January.
    16. David Gunawan & William Griffths & Duangkamon Chotikapanich, 2017. "Bayesian Inference for Health Inequality and Welfare Using Qualitative Data "Abstract: We show how to use Bayesian inference to compare two ordinal categorical distributions commonly occurring wi," Department of Economics - Working Papers Series 2031, The University of Melbourne.
    17. Stephen P. Jenkins, 2020. "Better off? Distributional comparisons for ordinal data about personal well-being," New Zealand Economic Papers, Taylor & Francis Journals, vol. 54(3), pages 211-238, September.
    18. Buhong Zheng, 2011. "A new approach to measure socioeconomic inequality in health," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(4), pages 555-577, December.
    19. Di Novi, C. & Piacenza, M. & Robone, S. & Turati, G., 2015. "How does fiscal decentralization affect within-regional disparities in well-being? Evidence from health inequalities in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 15/23, HEDG, c/o Department of Economics, University of York.
    20. Erreygers, Guido & Van Ourti, Tom, 2011. "Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice," Journal of Health Economics, Elsevier, vol. 30(4), pages 685-694, July.

    More about this item

    Keywords

    polarization; ordinal information; EU-SILC; segregation;
    All these keywords.

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:irs:cepswp:2011-33. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Library and Documentation (email available below). General contact details of provider: https://edirc.repec.org/data/cepsslu.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.