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The Relationship Between Education and Adult Mortality in the United States

Adriana Lleras-Muney
- 01 Jan 2005 - 
- Vol. 72, Iss: 1, pp 189-221
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TLDR
This article examined whether education has a causal impact on health and found that it has a large and positive correlation between education and health, and that this effect is perhaps larger than has been previously estimated in the literature.
Abstract
Prior research has uncovered a large and positive correlation between education and health. This paper examines whether education has a causal impact on health. I follow synthetic cohorts using successive U.S. censuses to estimate the impact of educational attainment on mortality rates. I use compulsory education laws from 1915 to 1939 as instruments for education. The results suggest that education has a causal impact on mortality, and that this effect is perhaps larger than has been previously estimated in the literature. Copyright 2005, Wiley-Blackwell.

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Does schooling affect health behavior? Evidence from the educational expansion in Western Germany

TL;DR: This article investigated the causal effect of education on health behavior such as smoking and related outcomes such as obesity, and found large and robust negative effects on smoking for women and men in Germany, but these effects can mostly be attributed to reductions in starting rates rather than increases in quitting rates.
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Social Disadvantage and Education Experiences

TL;DR: The authors discusses how social disadvantage affects the learning experiences of households with fewer economic resources, at each stage of the individuals' life-course, and on some of the "social" effects of such learning.
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Relative income, race, and mortality.

TL;DR: Evidence is found that among some demographic and age groups--in particular working-aged black males--having relatively wealthy neighbors is associated with lower mortality.
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Mortality Attributable to Low Levels of Education in the United States

TL;DR: Mortality attributable to low education is comparable in magnitude to mortality attributable to individuals being current rather than former smokers, and policies that increase education could significantly reduce adult mortality.
Journal ArticleDOI

Socioeconomic Differences in Health Over the Life Cycle in an Egalitarian Country

TL;DR: It is shown that in the Netherlands, as in the US, the socioeconomic gradient in health widens until late-middle age and narrows thereafter; the less educated appear to suffer a double health penalty in that they begin adult life with a slightly lower health level, which subsequently declines at a faster rate.
References
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Book

Limited-Dependent and Qualitative Variables in Econometrics

G. S. Maddala
TL;DR: In this article, the authors present a survey of the use of truncated distributions in the context of unions and wages, and some results on truncated distribution Bibliography Index and references therein.
ReportDOI

Instrumental variables regression with weak instruments

Douglas O. Staiger, +1 more
- 01 May 1997 - 
TL;DR: In this paper, the authors developed asymptotic distribution theory for instrumental variable regression when the partial correlation between the instruments and a single included endogenous variable is weak, here modeled as local to zero.
Book ChapterDOI

On the Concept of Health Capital and the Demand for Health

TL;DR: A model of the demand for the commodity "good health" is constructed and it is shown that the shadow price rises with age if the rate of depreciation on the stock of health rises over the life cycle and falls with education if more educated people are more efficient producers of health.
Journal ArticleDOI

Problems with Instrumental Variables Estimation when the Correlation between the Instruments and the Endogenous Explanatory Variable is Weak

TL;DR: In this article, the use of instruments that explain little of the variation in the endogenous explanatory variables can lead to large inconsistencies in the IV estimates even if only a weak relationship exists between the instruments and the error in the structural equation.
Journal ArticleDOI

Identification of Causal Effects Using Instrumental Variables

TL;DR: It is shown that the instrumental variables (IV) estimand can be embedded within the Rubin Causal Model (RCM) and that under some simple and easily interpretable assumptions, the IV estimand is the average causal effect for a subgroup of units, the compliers.
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