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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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Does education increase pro-environmental behavior? Evidence from Europe

TL;DR: In this article, a regression discontinuity design was used to estimate the increase in educational attainment due to changes in compulsory education laws in 20th century Europe, and they found a positive local average treatment effect for 7 of the 8 pro-environmental behaviors.
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Technological Innovation and Inequality in Health

TL;DR: It is found that more-educated individuals have a greater survival advantage in those diseases for which there has been more health-related technological progress.
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Depressive symptoms and SES among the mid-aged and elderly in China: evidence from the China Health and Retirement Longitudinal Study national baseline.

TL;DR: It is found that depressive symptoms are significantly associated with own education and per capita expenditure, and the associations are robust to the inclusion of highly disaggregated community fixed effects and to the addition of several other risk factors.
Journal ArticleDOI

Does compulsory education lower mortality

TL;DR: A French longitudinal dataset is used and the two identifying shocks are the Zay and Berthoin reforms, which respectively raised the minimum school leaving age to 14 and 16 years, and subsequent declines in mortality are observed, but none of these declines appears to be significant.
Journal ArticleDOI

Intelligence and education: causal perceptions drive analytic processes and therefore conclusions

TL;DR: Greater clarity in stating underlying assumptions and developing analytical approaches and greater objectivity in interpreting results are recommended.
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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