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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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Schooling and youth mortality : learning from a mass military exemption

TL;DR: In this article, the authors examined the relationship between education and mortality in a young population of Italian males and concluded that increasing the proportion of high school graduates by 1 percentage point leads to 0.1-0.2 percentage points lower mortality rates between the ages of 25 and 35.
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The differential impact of compulsory schooling laws on school quality in the United States segregated South

TL;DR: This paper found that the effect of compulsory schooling laws on school quality between black and white schools in the United States segregated South is small in scope and magnitude, and that changes in school quality are a minor issue when using compulsory schooling as an instrument for educational attainment or when estimating the overall impact of compulsory education laws on educational attainment.
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Residential Mobility, Neighborhood Effects, and Educational Attainment of Blacks and Whites

TL;DR: This article proposed a new model to identify if and how much the educational attainment gap between blacks and whites is due to the difference in their neighborhoods, where individuals belong to two unobserved types: the endogenous type, which may move in response to the neighborhood effect on their education; or the exogenous type, who may move for reasons unrelated to education.
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Childhood Educational Disruption and Later Life Outcomes: Evidence from Prince Edward County

TL;DR: This paper examined the effects of school closings on the educational attainment and economic outcomes of affected black children in Prince Edward County, Virginia, and found that exposed students obtained an average of 1 fewer year of schooling than peers in surrounding counties, they do not exhibit substantially worse material, health, and incarceration outcomes.
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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