Socioeconomic Determinants of Mortality in Taiwan: Combining Individual Data and Aggregate Data
AbstractThere is a very large literature that examines the relationship between health and income. Two main hypotheses have been investigated: the relative income hypothesis and the absolute income hypothesis. Most of previous studies that used mortality data have been criticized for estimating an aggregate model that does not account for non-linear links between health and income at the individual level. In this paper we follow a novel approach to avoid this bias, combining aggregate mortality data with individual level data on socio-economic characteristics. We test the relative and absolute income hypotheses using county level mortality data from Life Statistic of Department of Health and individual level data from Taiwan census FIES for 1976-2003. We find that there is no strong evidence supporting either hypothesis in the case of the general population. In contrast, we find strong evidence that education does have significant effects on individuals’ health and the estimates are not sensitive to income equivalent scales.
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Bibliographic InfoPaper provided by National Graduate Institute for Policy Studies in its series GRIPS Discussion Papers with number 09-01.
Length: 15 pages
Date of creation: Apr 2009
Date of revision:
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Web page: http://r-center.grips.ac.jp/DiscussionPapers
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mortality; relative income hypothesis; aggregation bias;
Other versions of this item:
- Roberto Leon Gonzalez & Fu-Min Tseng, 2009. "Socioeconomic Determinants of Mortality in Taiwan: Combining Individual Data and Aggregate Data," Working Paper Series 08_09, The Rimini Centre for Economic Analysis.
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