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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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Community Schools: a Public Health Opportunity to Reverse Urban Cycles of Disadvantage.

TL;DR: By developing closer ties between community schools and neighborhood health programs, public health professionals can help to mobilize a powerful new resource for reducing the health and educational inequalities that now characterize US cities.
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Income-Based Inequality in Educational Outcomes: Learning From State Longitudinal Data Systems

TL;DR: The authors report results from their long-standing research partnership with the Massachusetts Department of Elementary and Secondary Education and show that income-related gaps in both educational credentials and academic skill have narrowed substantially over the past several years in Massachusetts.
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Estimating private returns to education in mexico

TL;DR: In this paper, the relationship between education and wages in Mexico is explored, which contributes to our understanding of the structure of wages, and helps explain individuals' choices concerning education level.
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Does Education Matter? Major League Baseball Players and Longevity

TL;DR: The authors found that the hazard rate of death for players who only attended high school was almost 2.0 times higher than those players who attended a 4-year university, evidence that the educaton–health link applies to professional athletes.
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Identifying the effect of college education on business and employment survival

TL;DR: This paper used a multi-armed identification strategy to estimate the effect of college education on business and employment survival and found that college does not increase business survival, while a college degree significantly increases employment survival.
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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