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Relative deprivation, inequality, and mortality

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Angus Deaton (Princeton University)

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Abstract

I present a model of mortality and income which attempts to integrate the “gradient,” the negative relationship between income and mortality, with the Wilkinson hypothesis, that income inequality poses a risk to health. I postulate that individual health is negatively affected by relative deprivation within a reference group, defined as the ratio to group mean income of the total “weight” of incomes of group members better-off than the individual. I argue that such a model is consistent with what we know about the way in which social status affects health, based on both animal and human models. The theory has the following predictions. Within reference groups, which may be as large as whole populations, mortality declines with income, but at a decreasing rate; the mortality to income relationship is monotone decreasing and convex. If, as is sometimes observed, the upper tail of the income distribution satisfies Pareto’s Law then, among the rich, there will be a negative linear relationship between the logarithm of the probability of death and the logarithm of income, whose slope is larger the larger is Pareto’s constant, itself often interpreted as a measure of equality. A mean-preserving increase in the spread of incomes raises the risk of mortality for everyone. Between reference groups, as between states or countries, mortality is independent of the level of average income, but depends on the gini coefficient of income inequality, in accord with the actual pattern of aggregate mortality across US states. A more detailed empirical evaluation, using individual data from the National Longitudinal Mortality Study, shows that the relative deprivation theory provides a good account of the mortality gradient within states, but actually fails to account for the pattern between states, and in particular for the observed positive correlation between mortality and income inequality. Further analysis of the aggregate data shows that the effect of income inequality is not robust to the inclusion of other controls, particularly the fraction of blacks in the population. The fraction black is positively associated with white (male) mortality in both the individual and aggregate data and, once the fraction black is controlled for, there is no effect of income inequality on either male or female mortality. No explanation is offered for why white mortality should be higher in states with a higher proportion of blacks in the population.

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Paper provided by Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing. in its series Working Papers with number 275.

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Date of creation: Jan 2001
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Handle: RePEc:pri:cheawb:275

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  1. Shlomo Yitzhaki & Edna Schechtman, 2005. "The properties of the extended Gini measures of variability and inequality," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 401-433. [Downloadable!]
  2. Brown, Gordon D. A. & Gardner, Jonathan & Oswald, Andrew & Qian, Jing, 2005. "Does Wage Rank Affect Employees’ Wellbeing?," IZA Discussion Papers 1505, Institute for the Study of Labor (IZA). [Downloadable!]
  3. David Cantarero & Marta Pascual & Jose Maria Sarabia, 2004. "Can income inequality contribute to understand inequalities in health? An empirical approach based on the European Community Household Panel," ERSA conference papers ersa04p230, European Regional Science Association. [Downloadable!]
  4. Florence Jusot & Michel Grignon & Paul Dourgnon, 2007. "Psychosocial resources and social health inequalities in France: Exploratory findings from a general population survey," Social and Economic Dimensions of an Aging Population Research Papers 189, McMaster University. [Downloadable!]
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  5. Andrew Leigh & Christopher Jencks, 2006. "Inequality and Mortality: Long-Run Evidence from a Panel of Countries," CEPR Discussion Papers 533, Centre for Economic Policy Research, Research School of Social Sciences, Australian National University. [Downloadable!]
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  6. Lisa R. Anderson & Jennifer M. Mellor & Jeffrey Milyo, 2003. "Inequality, Group Cohesion, and Public Good Provision: An Experimental Analysis," Working Papers 0308, Harris School of Public Policy Studies, University of Chicago. [Downloadable!]
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  7. David Cutler & Ellen Meara, 2001. "Changes in the Age Distribution of Mortality Over the 20th Century," NBER Working Papers 8556, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  8. Jeffrey Milyo & Jennifer M. Mellor & Lisa R. Anderson, 2005. "An Experimental Study of the Effects of Inequality and Relative Deprivation on Trusting Behavior," Working Papers 0502, Department of Economics, University of Missouri. [Downloadable!]
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  9. Hongbin Li & Yi Zhu, 2004. "Income, Income Inequality, and Health: Evidence from China," Discussion Papers 00006, Chinese University of Hong Kong, Department of Economics. [Downloadable!]
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  10. Wang, Limin, 2002. "Health outcomes in poor countries and policy options : empirical findings from demographic and health surveys," Policy Research Working Paper Series 2831, The World Bank. [Downloadable!]
  11. Joerg Baten, 2002. "Did Partial Globalization Increase Inequality? Did Inequality Stimulate Globalization Backlash? The case of the Latin American Periphery, 1950-80," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
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