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Measuring health polarization with self-assessed health data

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  • Benedicte Apouey

    (Paris School of Economics (PSE))

Abstract

This paper proposes an axiomatic foundation for new measures of polarization that can be applied to ordinal distributions such as self-assessed health (SAH) data. This is an improvement over the existing measures of polarization that can be used only for cardinal variables. The new measures of polarization avoid one difficulty that the related measures for evaluating health inequalities face. Indeed, inequality measures are mean based, and since only cardinal variables have a mean, SAH has to be cardinalized to compute a mean, which can then be used to calculate an inequality measure. In contrast, the new polarization measures are median based and hence do not require to impose cardinal scaling on the categories. After deriving the properties of these new polarization measures, we provide an empirical illustration using data from the British Household Panel Survey that demonstrates that SAH polarization is also a relevant question on empirical grounds, and that the polarization measures are adequate to evaluate polarization phenomena whereas inequality measures are not adequate in these cases. Copyright © 2007 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/hec.1284
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

Volume (Year): 16 (2007)
Issue (Month): 9 ()
Pages: 875-894

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Handle: RePEc:wly:hlthec:v:16:y:2007:i:9:p:875-894

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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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References

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  1. Duclos, Jean-Yves & Esteban, Joan & Ray, Debraj, 2003. "Polarization: Concepts, Measurement, Estimation," Cahiers de recherche 0301, CIRPEE.
  2. Foster, James E & Shorrocks, Anthony F, 1991. "Subgroup Consistent Poverty Indices," Econometrica, Econometric Society, vol. 59(3), pages 687-709, May.
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Citations

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Cited by:
  1. Jones, Andrew M. & Rice, Nigel & Robone, Silvana & Dias, Pedro Rosa, 2011. "Inequality and polarisation in health systems' responsiveness: A cross-country analysis," Journal of Health Economics, Elsevier, vol. 30(4), pages 616-625, July.
  2. 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.
  3. Joan Costa-i-Font & Frank Cowell, 2013. "Measuring Health Inequality with Categorical Data: Some Regional Patterns," CESifo Working Paper Series 4427, CESifo Group Munich.
  4. Sonne-Schmidt, Christoffer & Tarp, Finn & Osterdal, Lars Peter, 2013. "Ordinal multidimensional inequality," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
  5. Martyna Kobus, 2014. "Multidimensional polarization for ordinal data," Working Papers 326, ECINEQ, Society for the Study of Economic Inequality.
  6. Bénédicte H. Apouey & Jacques Silber, 2013. "Inequality and bi-polarization in socioeconomic status and health: Ordinal approaches," PSE Working Papers halshs-00850014, HAL.
  7. David Madden, 2010. "Ordinal and cardinal measures of health inequality: an empirical comparison," Health Economics, John Wiley & Sons, Ltd., vol. 19(2), pages 243-250.
  8. Guido Erreygers & Tom Van Ourti, 2010. "Measuring Socioeconomic Inequality in Health, Health Care and Health Financing by Means of Rank-Dependent Indices: A Recipe for Good Practice," Tinbergen Institute Discussion Papers 10-076/3, Tinbergen Institute.
  9. Martyna Kobus & Piotr Miłoś, 2011. "Inequality decomposition by population subgroups for ordinal data," Working Papers 2011-24, Faculty of Economic Sciences, University of Warsaw.
  10. Guido Erreygers & Tom Van Ourti, 2010. "Measuring Socioeconomic Inequality in Health, Health Care and Health Financing by Means of Rank-Dependent Indices: A Recipe for Good Practice," Tinbergen Institute Discussion Papers 10-076/3, Tinbergen Institute.
  11. repec:hal:wpaper:halshs-00850014 is not listed on IDEAS
  12. David Madden, 2011. "The Impact of an Economic Boom on the Level and Distribution of Subjective Well-Being: Ireland, 1994–2001," Journal of Happiness Studies, Springer, vol. 12(4), pages 667-679, August.
  13. Buhong Zheng, 2011. "A new approach to measure socioeconomic inequality in health," Journal of Economic Inequality, Springer, vol. 9(4), pages 555-577, December.

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