Ordinal and cardinal measures of health inequality : an empirical comparison
When measuring health inequality using ordinal data, analysts typically must choose between indices specifically based upon ordinal data and more standard indices using ordinal data which has been transformed into cardinal data. This paper compares inequality rankings across a number of different approaches and finds considerable sensitivity to the choice between ordinal and cardinal based indices. There is relatively little sensitivity to the ethical choices made by the analyst in terms of the weight attached to different parts of the distribution.
|Date of creation:||May 2008|
|Date of revision:|
|Contact details of provider:|| Postal: UCD, Belfield, Dublin 4|
Fax: +353-1-283 0068
Web page: http://www.ucd.ie/economics
More information through EDIRC
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.:
- Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, vol. 22(1), pages 61-87, January.
- Bénédicte H. Apouey, 2007.
"Measuring health polarization with self-assessed health data,"
- Benedicte Apouey, 2007. "Measuring health polarization with self-assessed health data," Health Economics, John Wiley & Sons, Ltd., vol. 16(9), pages 875-894.
- Ramses H. Abul Naga & Tarik Yalcin, 2007.
"Inequality measurement for ordered response health data,"
LSE Research Online Documents on Economics
6538, London School of Economics and Political Science, LSE Library.
- 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.
- Ann Lecluyse & Irina Cleemput, 2006. "Making health continuous: implications of different methods on the measurement of inequality," Health Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 99-104.
- Nolan, Brian & Gannon, Brenda & Layte, Richard & Watson, Dorothy & Whelan, Christopher T. & Williams, James, 2002. "Monitoring Poverty Trends in Ireland: Results from the 2000 Living in Ireland survey," Research Series, Economic and Social Research Institute (ESRI), number PRS45.
- Eddy van Doorslaer & Xander Koolman, 2004. "Explaining the differences in income-related health inequalities across European countries," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 609-628.
- Allison, R. Andrew & Foster, James E., 2004. "Measuring health inequality using qualitative data," Journal of Health Economics, Elsevier, vol. 23(3), pages 505-524, May.
- Van Ourti, Tom & van Doorslaer, Eddy & Koolman, Xander, 2009. "The effect of income growth and inequality on health inequality: Theory and empirical evidence from the European Panel," Journal of Health Economics, Elsevier, vol. 28(3), pages 525-539, May.
- Jorgen Lauridsen & Terkel Christiansen & Unto Häkkinen, 2004. "Measuring inequality in self-reported health-discussion of a recently suggested approach using Finnish data," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 725-732.
- Deirdre N. McCloskey & Stephen T. Ziliak, 1996. "The Standard Error of Regressions," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 97-114, March.
When requesting a correction, please mention this item's handle: RePEc:ucn:wpaper:200813. 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: (Nicolas Clifton)
If references are entirely missing, you can add them using this form.