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Do Education and Income Really Explain Inequalities in Health? Applying a Twin Design

Do Education and Income Really Explain Inequalities in Health? Applying a Twin Design We apply a twin design to examine the relationship between health and education and income. The estimated associations between health and education and income, controlling for unobserved endowments, at the twin‐pair level, are lower than estimates obtained via ordinary least‐squares (OLS) on the same sample. Thus, OLS‐based effects of education and income are biased, exaggerating the contribution of education and income to health inequality. The main part of health inequality is explained by within‐twin‐pair fixed effects, incorporating family background and genetic inheritance. It appears that education and income policies have less to offer for reducing health inequality than is usually assumed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Scandinavian Journal of Economics Wiley

Do Education and Income Really Explain Inequalities in Health? Applying a Twin Design

24 pages

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References (77)

Publisher
Wiley
Copyright
© 2016 the editors of The Scandinavian Journal of Economics .
ISSN
0347-0520
eISSN
1467-9442
DOI
10.1111/sjoe.12130
Publisher site
See Article on Publisher Site

Abstract

We apply a twin design to examine the relationship between health and education and income. The estimated associations between health and education and income, controlling for unobserved endowments, at the twin‐pair level, are lower than estimates obtained via ordinary least‐squares (OLS) on the same sample. Thus, OLS‐based effects of education and income are biased, exaggerating the contribution of education and income to health inequality. The main part of health inequality is explained by within‐twin‐pair fixed effects, incorporating family background and genetic inheritance. It appears that education and income policies have less to offer for reducing health inequality than is usually assumed.

Journal

The Scandinavian Journal of EconomicsWiley

Published: Jan 1, 2016

Keywords: ; ; ; ; ; ;

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