Income, income inequality and health: what can we learn from aggregate data?
AbstractIt 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 means of testing hypotheses about the effect of income, and its distribution, on the health of individuals.
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Bibliographic InfoArticle provided by Elsevier in its journal Social Science & Medicine.
Volume (Year): 54 (2002)
Issue (Month): 4 (February)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description
Other versions of this item:
- Hugh Gravelle & John Wildman & Matthew Sutton, . "Income, Income Inequality and Health: What can we Learn from Aggregate Data?," Discussion Papers 00/26, Department of Economics, University of York.
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- Hongyi Li & Lyn Squire & Tao Zhang & Heng-fu Zou, 1999.
"A Data Set on Income Distribution,"
CEMA Working Papers
575, China Economics and Management Academy, Central University of Finance and Economics.
- Ettner, Susan L., 1996. "New evidence on the relationship between income and health," Journal of Health Economics, Elsevier, vol. 15(1), pages 67-85, February.
- Godfrey, Leslie G & McAleer, Michael & McKenzie, Colin R, 1988. "Variable Addition and LaGrange Multiplier Tests for Linear and Logarithmic Regression Models," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 492-503, August.
- Klaus Deininger & Lyn Squire, 1996.
"A New Data Set Measuring Income Inequality,"
CEMA Working Papers
512, China Economics and Management Academy, Central University of Finance and Economics.
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