Titre :
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Income, income inequality and health : what can we learn from aggregate data ? : Revenu, inégalité de revenu et santé : que pouvons-nous apprendre des données aggrégées ? (2002)
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Auteurs :
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H. GRAVELLE ;
M. SUTTON ;
J. WILDMAN
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Type de document :
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Article
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Dans :
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Social science and medicine (vol. 54, n° 4, 2002/02)
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Pagination :
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577-589
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Langues:
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Anglais
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Mots-clés :
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Revenu
;
Inégalité sociale
;
Etat santé
;
Espérance vie
;
Pauvreté
;
Facteur socioéconomique
;
Théorie
;
Modèle économétrique
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Résumé :
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[BDSP. Notice produite par CREDES kcUjR0xH. Diffusion soumise à autorisation]. It has been suggested that, especially in countries with high per capita income, there is an independent effect of income distribution on the health of individuals. One source of evidence in support of this relative income hypothesis is the analysis of aggregate cross-section data on population health, per capita income and income inequality. We examine the empirical robustness of cross-section analyses by using a new data set to replicate and extend the methodology in a frequently cited paper. The estimated relationship between income inequality and population health is not significant in any of our estimated models. We also argue there are serious conceptual difficulties in using aggregate cross-sections as a means of testing hypotheses about the effect of income, and its distribution, on the health of individuals.
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