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Does Income Inequality Harm Health? New Cross-National Evidence

Beckfield, Jason

Journal of health and social behavior, 2004-09, Vol.45 (3), p.231-248 [Periódico revisado por pares]

Los Angeles, CA: American Sociological Association

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Título:
Does Income Inequality Harm Health? New Cross-National Evidence
Autor: Beckfield, Jason
Assuntos: Biological and medical sciences ; Correlation ; Cross Cultural Studies ; Crosscultural Analysis ; Cultural Activities ; Cultural Capital ; Data sampling ; Economic Factors ; Evidence ; General populations ; Health ; Health Behavior ; Health Services Accessibility ; Health Status ; Humans ; Income ; Income estimates ; Income Inequality ; Inequality, Socioeconomic Status, and Health ; Infant mortality ; Life expectancy ; Low income groups ; Medical journals ; Medical sciences ; Medical Services ; Methodological Problems ; Models, Theoretical ; Mortality ; Multivariate Analysis ; Population health ; Poverty ; Prevention and actions ; Public Health ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Real gross domestic product per capita ; Reproducibility of Results ; Research Design ; Social Behavior ; Social Differences ; Social integration ; Statistical Analysis ; Studies ; Theoretical Problems
É parte de: Journal of health and social behavior, 2004-09, Vol.45 (3), p.231-248
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: The provocative hypothesis that income inequality harms population health has sparked a large body of research, some of which has reported strong associations between income inequality and population health. Cross-national evidence is frequently cited in support of this important hypothesis, but the hypothesis remains controversial, and the cross-national work has been criticized for several methodological shortcomings. This study replicates previous work using a larger sample (692 observations from 115 countries over the 1947-1996 period), a wider range of statistical controls, and fixed-effects models that address heterogeneity bias. The relationship between health and inequality shrinks when controls are included. In fixed-effects models that capture unmeasured heterogeneity, the association between income inequality and health disappears. The null findings hold for two measures of income inequality: the Gini coefficient and the share of income received by the poorest quintile of the population. Analysis of a sample of wealthy countries also fails to support the hypothesis.
Editor: Los Angeles, CA: American Sociological Association
Idioma: Inglês

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Does Income Inequality Harm Health? New Cross-National Evidence

Beckfield, Jason

Los Angeles, CA: American Sociological Association

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