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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 Coronary Heart Disease Risk Associations May Be Affected by Early Life Common Prior Causes: A Propensity Matching Analysis

TL;DR: Participants with college degree had substantially lower risk of CHD and the addition of early life potential confounders resulted in a moderate effect size, suggesting potential importance ofEarly life factors in explaining observed associations between education and CHD risk.
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Early endowments, education and health

TL;DR: This article examined the early origins of observed health disparities by education and determined the role played by cognitive, noncognitive and early health endowments, and identified the causal eect of education on health and health-related behaviors.

Changes in Compulsory Schooling and the Causal Effect of Education on Health

TL;DR: In this paper, the causal effect of years of schooling on health and healthrelated behavior in West Germany was investigated using an instrumental variables approach using changes in compulsory schooling laws which took place from 1949 to 1969 as natural experiments.
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The Impact of Education on Health Knowledge.

TL;DR: In this paper, the authors used data from the 1997 and 2002 waves of the NLSY97 to conduct an investigation of the allocative efficiency hypothesis by analyzing whether education improves health knowledge, finding weak evidence that an increase in education generates an improvement in health knowledge for those who ultimately attend college.
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The Social Costs of Childhood Lead Exposure in the Post–Lead Regulation Era

TL;DR: Reducing blood lead levels to less than 1 microg/dL among all US children between birth and age 6 years would reduce crime and increase on-time high school graduation rates later in life and produce an additional 4.8 million QALYs for US society as a whole.
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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