The Relationship Between Education and Adult Mortality in the United States
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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.read more
Citations
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Effects of a Prekindergarten Educational Intervention on Adult Health: 37-Year Follow-Up Results of a Randomized Controlled Trial
TL;DR: The High/Scope Perry Preschool Program led to improvements in educational attainment, health insurance, income, and family environment, but participants did not exhibit any overall improvement in physical health outcomes by the age of 40 years.
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The Effect of Educational Attainment on Adult Mortality in the United States.
TL;DR: In 2011, U.S. mortality rates reached record lows for both women and men; as a result, life expectancy at birth reached record highs: 81 years for women and 76 years for men.
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The Effect of Education on Criminal Convictions and Incarceration: Causal Evidence from Micro‐data
TL;DR: In this paper, the causal effect of educational attainment on conviction and incarceration using Sweden's compulsory schooling reform as an instrument for years of schooling and a 70% sample from Sweden's Multigenerational Register matched with more than 30 years of administrative crime records.
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Estimating the Relation between Health and Education: What Do We Know and What Do We Need to Know?.
Eric R. Eide,Mark H. Showalter +1 more
TL;DR: The empirical link between education and health is firmly established as discussed by the authors, and higher levels of education are positively associated with longer life and better health throughout the lifespan. But measuring the causal links between education, and health, is a more challenging task.
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The Lengthening of Childhood
David J. Deming,Susan Dynarski +1 more
TL;DR: In the early grades there is a strong, positive relationship between a child's age in months and his performance relative to his peers and there is little evidence that being older than your classmates has any long-term, positive effect on adult outcomes such as IQ, earnings, or educational attainment as discussed by the authors.
References
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Limited-Dependent and Qualitative Variables in Econometrics
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
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.
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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.
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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.