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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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chapter 1 The ses and health gradient: a Brief Review of the l iterature

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Adolescent Health and Educational Attainment: Understanding Patterns by Race and Gender

TL;DR: For instance, Roberts et al. as discussed by the authors investigated the relationship between self-rated health in adolescence (grades 7-12) and educational attainment in early adulthood among black and white males and females.
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How Food Environment Impacts Dietary Consumption and Body Weight: A Country-wide Observational Study of 2.3 Billion Food Logs

TL;DR: Policy targeted at improving access to grocery stores, access to non-fast food restaurants, income and education may significantly increase healthy eating, but interventions may need to be adapted to specific subpopulations for optimal effectiveness.
Dissertation

Five Essays on Labor and Public Economics

Wei Huang
TL;DR: In this article, the authors examined the effects of a series of public policies in China by investigating the policy-induced individual behaviors and social consequences in different stages over lifetime, and concluded that the public policies have significant and remarkable effects on the behaviors and welfare outcomes of individuals.

EffectsofaPrekindergartenEducationalIntervention onAdultHealth:37-YearFollow-UpResultsofa RandomizedControlledTrial

TL;DR: The High/Scope Perry Preschool Program led to improvements in educational attainment, health insurance, income, and family environment, and despite these reductions in behavioral risk factors, participants did not exhibit any overall improvement in physical health outcomes by the age of 40 years.
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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