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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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Citations
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Education and smoking: were Vietnam war draft avoiders also more likely to avoid smoking?

TL;DR: There is strong evidence that education, whether measured in years of completed schooling or in educational attainment categories, reduces the probability of smoking at the time of the interview, more particularly the likelihood of smoking regularly.
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Trends and group differences in the association between educational attainment and U.S. adult mortality: Implications for understanding education's causal influence☆

TL;DR: The argument that societal technological change may have had profound effects on the importance of educational attainment - particularly advanced education - in the U.S. adult population for garnering health advantages is developed and changes in the functional form of the association between educational attainment and mortality are assessed.
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Understanding the Early Origins of the Education–Health Gradient A Framework That Can Also Be Applied to Analyze Gene–Environment Interactions

TL;DR: A framework for analyzing the causal effects of interventions in the presence of latent factors that could affect outcomes, even in the absence of interventions is developed, which will be useful in situations in which genes are included among the latent factors.
Posted Content

The Impact of Education on Unemployment Incidence and Re-Employment Success: Evidence from the U.S. Labour Market

TL;DR: This article investigated the causal effects of education on individuals' transitions between employment and unemployment, with particular focus on the extent to which education improves re-employment outcomes among unemployed workers, and found that education significantly increases reemployment rates of the unemployed.
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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