Modern Day Evaluation of the Preston Curve: The Relationship Between Life Expectancy and Income
Author(s)
Garcia, Juan
Narvil, Jasper
Oh, Soobin
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Abstract
The Preston Curve has long served as the foundation of global health policy with significant
attention given to its implication that income has a causal effect on life expectancy. Our research sets to
evaluate this relationship with modern data by incorporating econometric recommendations provided
by scholars critical of the curve. We have added two primary extraneous variables into the relationship
between life expectancy and income, health and education. Our models also test the role of
unemployment and savings in this relationship, although it should be noted that these two specific
factors are not the priority of this study. We test the reverse relationship as well, with income being the
dependent variable rather than life expectancy. We hypothesize that these changes to the Preston
Curve will update its validity and improve its accuracy.
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Date
2016-11
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Text
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Undergraduate Research Paper