Modern Day Evaluation of the Preston Curve: The Relationship Between Life Expectancy and Income
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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.