The Health Equivalent Adjusted Level (HEAL): Taking an Ordinal Approach to the Measurement of a Society's Health Achievements
This paper, following earlier work on the cardinal measurement of ordinal health inequality, proposes an axiomatic derivation of the health achievement in a population when only ordinal information on health is available. An empirical illustration based on EU data for 27 countries during the period 2005-2012 is then presented which confirms the usefulness of the new measure of health achievement that has been introduced.
|Date of creation:||Aug 2016|
|Contact details of provider:|| Postal: Faculty Building II, 2-1, Naka, Kunitachi, 186 - 8601|
Phone: (+81) 42 – 580 - 8604
Fax: (+81) 42 – 580 - 8605
Web page: http://hias.ad.hit-u.ac.jp/
More information through EDIRC
References listed on IDEAS
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.
- repec:hal:wpaper:halshs-00850014 is not listed on IDEAS
- 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.
- 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 for ordered response health data," LSE Research Online Documents on Economics 6538, London School of Economics and Political Science, LSE Library.
- 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.
- repec:hal:psewpa:halshs-00850014 is not listed on IDEAS
- Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
- David (David Patrick) Madden, 2008.
"Ordinal and cardinal measures of health inequality : an empirical comparison,"
200813, School of Economics, University College Dublin.
- 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.
- Madden, D, 2008. "Ordinal and Cardinal Measures of Health Inequality: An Empirical Comparison," Health, Econometrics and Data Group (HEDG) Working Papers 08/09, HEDG, c/o Department of Economics, University of York.
- Bénédicte H. Apouey & Jacques Silber, 2013.
"Inequality and bi-polarization in socioeconomic status and health: Ordinal approaches,"
PSE - Labex "OSE-Ouvrir la Science Economique"
- Bénédicte H. Apouey & Jacques Silber, 2013. "Inequality and bi-polarization in socioeconomic status and health: Ordinal approaches," Post-Print hal-00941757, HAL.
- 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.
- 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, 01.
When requesting a correction, please mention this item's handle: RePEc:hit:hiasdp:hias-e-31. 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: (Digital Resources Section, Hitotsubashi University Library)
If references are entirely missing, you can add them using this form.