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Guest Lecture: Dr Tony BlakelyShifting dollars, saving lives: What might happen to mortality rates, and socio-economic inequalities in mortality rates, if income was redistributed?

Page updated 20 Sep 2007

Slides, abstract and paper from Dr Tony Blakely's Guest Lecture presented at the Treasury on 06 September 2005.

Dr Tony Blakely

Wellington School of Medicine

Associate Professor Tony Blakely is an epidemiologist and public health medicine specialist at the Wellington School of Medicine and Health Sciences, University of Otago.  He is Director of the Health Inequalities Research Programme.  His recent research has focused largely on socioeconomic and ethnic inequalities in health, including the Decades of Disparity work in collaboration with Public Health Intelligence at the Ministry of Health.  The study on which the presentation to Treasury is based, the New Zealand Census-Mortality Study, is the largest census-mortality record linkage study in the English-speaking world.  Two features of the New Zealand census, the collection of income data and smoking status (1981 and 1996) put this study at the forefront internationally of what can be modelled with regard to effects of income redistribution and tobacco control policies on mortality.

Abstract

Personal or household income predicts mortality risk, with each additional dollar of income conferring a slightly smaller decrease in the mortality risk.  Regardless of whether levels of income inequality in a society impact on mortality rates over and above this individual-level association (ie, the ‘income inequality hypothesis’), the current consensus is that narrowing income distributions will probably improve overall health status and reduce socio-economic inequalities in health.  Our objective was to quantify this impact in New Zealand using 1.3 million 25-59 year old respondents to the New Zealand 1996 census followed-up for mortality three years.  We modelled 10% to 40% shifts of everyone’s income to the mean income (equivalent to 10% to 40% reductions in the Gini coefficient).  The strength of the income-mortality association was modelled using rate ratios from Poisson regression of mortality on the logarithm of equivalised household income, adjusted for confounders of age, marital status, education, car access, and neighbourhood socio-economic deprivation.  Overall mortality reduced by 4% to 13% following 10% to 40% shifts in everyone’s income, respectively.  Inequalities in mortality reduced by 12% to 38% following 10% to 40% shifts in everyone’s income.  Sensitivity analyses suggested that halving the strength of the income-mortality association (ie, assuming our multivariable estimate still overestimated the causal income-mortality association) would result in 2% to 6% reductions in overall mortality and 6% to 19% reductions in inequalities in mortality in this New Zealand setting.

The presentation will also include a head to head comparison with tobacco control policies, estimating which saves more lives and reduces inequalities most - tobacco eradication or income redistribution. Many commentators have noted the non-linear association of income with mortality predicts that narrowing the income distribution will both reduce overall mortality rates and reduce inequalities in mortality.  Quantifying such reductions can only be done with considerable uncertainty.  Nevertheless, we tentatively suggest that the gains in overall mortality will be modest (although still potentially worthwhile from a policy perspective) and the reductions in inequalities in mortality will be more substantial.

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