Deprivation and mortality: the implications of spatial autocorrelation for health resources allocation
AbstractThis paper aims at investigating whether the relationship between mortality and socio-economic deprivation is affected by the spatial autocorrelation of ecological data. A simple model is used in which mortality (all-ages and premature) is the dependent variable, and deprivation, morbidity and other socio-economic indicators are the explanatory variables. Deprivation is measured by the Townsend index; the other socio-economic variables are the median income, unequal income distribution (Gini coefficient) and population density. Morbidity is estimated on the basis of hospital admission rates and overweight prevalence. Spatial autocorrelation is measured by the Moran's I coefficient. All mortality and morbidity variables have significant, positive, and moderate-to-high spatial autocorrelation. Two multivariate models are explored: a weighted least-squares model ignoring spatial autocorrelation and a simultaneous autoregressive model. The paper concludes that spatial autocorrelation has a significant impact on the relationship between mortality and socio-economic variables. Future ecological models intended to inform health resources allocation need to pay greater attention to the spatial dimension of the data used.
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Bibliographic InfoArticle provided by Elsevier in its journal Social Science & Medicine.
Volume (Year): 53 (2001)
Issue (Month): 12 (December)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description
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- Norman, Paul & Boyle, Paul & Exeter, Daniel & Feng, Zhiqiang & Popham, Frank, 2011. "Rising premature mortality in the UK’s persistently deprived areas: Only a Scottish phenomenon?," Social Science & Medicine, Elsevier, vol. 73(11), pages 1575-1584.
- Baltagi, Badi H. & Moscone, Francesco, 2010.
"Health care expenditure and income in the OECD reconsidered: Evidence from panel data,"
Elsevier, vol. 27(4), pages 804-811, July.
- Baltagi, Badi H. & Moscone, Francesco, 2010. "Health Care Expenditure and Income in the OECD Reconsidered: Evidence from Panel Data," IZA Discussion Papers 4851, Institute for the Study of Labor (IZA).
- Badi H. Baltagi & Francesco Moscone, 2009. "Health Care Expenditure and Income in the OECD Reconsidered: Evidence from Panel Data," Discussion Papers in Economics 09/5, Department of Economics, University of Leicester.
- Badi H. Baltagi & Francesco Moscone, 2010. "Health Care Expenditure and Income in the OECD Reconsidered: Evidence from Panel Data," Center for Policy Research Working Papers 120, Center for Policy Research, Maxwell School, Syracuse University.
- Zheng, Hui, 2012. "Do people die from income inequality of a decade ago?," Social Science & Medicine, Elsevier, vol. 75(1), pages 36-45.
- Dierk Herzer & Peter Nunnenkamp, 2011. "Income Inequality and Health: New Evidence from Panel Data," Kiel Working Papers 1736, Kiel Institute for the World Economy.
- Syam Prasad, 2011. "Deprevation and vulnerability among elderly in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2011-013, Indira Gandhi Institute of Development Research, Mumbai, India.
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