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Mortality, lifestyle and socio-economic status

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  • Silvia Balia
  • Andrew M Jones

Abstract

This paper uses the British Health and Lifestyle Survey (1984-1985) data and the longitudinal follow-up of May 2003 to investigate the de- terminants of premature mortality risk in Great Britain and the con- tribution of lifestyle choices to socio-economic inequality in health. A behavioural model, which relates premature mortality to a set of observ- able and unobservable factors, is considered. We focus on unobservable individual heterogeneity and endogeneity a®ecting the mortality equa- tion. A maximum simulated likelihood (MSL) approach for a multivari- ate probit (MVP) is used to estimate a recursive system of equations for mortality, morbidity and lifestyles. In order to detect inequality in the distribution of health within the population and to calculate the con- tribution of socio-economic factors, we compute the Gini coe±cient for overall health inequality. A decomposition analysis for predicted mor- tality shows that, after allowing for endogeneity, lifestyles contribute strongly to inequality in mortality, reducing the direct role of socio- economic status. This contradicts the view, which is widely held in epidemiology, that lifestyles make a relatively minor contribution to ob- served socio-economic gradients in health.

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Bibliographic Info

Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 05/02.

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Date of creation: Jun 2005
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Handle: RePEc:yor:hectdg:05/02

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Postal: HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom
Phone: (0)1904 323776
Fax: (0)1904 323759
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Web page: http://www.york.ac.uk/economics/postgrad/herc/hedg/
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Related research

Keywords: Mortality; Lifestyle; Socio-economic status; Multivariate Probit; Simulation-based inference; Health Inequality.;

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