Inequality measurement for ordered response health data

Détails

ID Serval
serval:BIB_E3F9A29B339B
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Inequality measurement for ordered response health data
Périodique
Journal of Health Economics
Auteur⸱e⸱s
Abul Naga Ramses H., Yalcin Tarik
ISSN
0167-6296
Statut éditorial
Publié
Date de publication
2008
Peer-reviewed
Oui
Volume
27
Numéro
6
Pages
1614-1625
Langue
anglais
Notes
SAPHIRID:70390
Résumé
Because self-reported health status [SRHS] is an ordered response variable, inequality measurement for SRHS data requires a numerical scale for converting individual responses into a summary statistic. The choice of scale is however problematic, since small variations in the numerical scale may reverse the ordering of a given pair of distributions of SRHS data in relation to conventional inequality indices such as the variance. This paper introduces a parametric family of inequality indices, founded on an inequality ordering proposed by Allison and Foster [Allison, R.A., Foster, J., 2004. Measuring health inequalities using qualitative data. Journal of Health Economics 23, 505-524], which satisfy a suitable invariance property with respect to the choice of numerical scale. Several key members of the parametric family are also derived, and an empirical application using data from the Swiss Health Survey illustrates the proposed methodology. [Authors]
Mots-clé
Health Status Indicators , Self Assessment (Psychology) , Socioeconomic Factors , Models, Econometric
Pubmed
Création de la notice
16/03/2009 17:43
Dernière modification de la notice
20/08/2019 17:07
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