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Cross Sectional Relationship Between Life Expectancy And Income

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ABSTRACT
According the Samuel. H. Preston, there is an empirical cross-sectional relationship between life expectancy and income. Named after him, the Preston Curve shows that there is in fact a positive correlation between the two variables.
To discuss the topic above, this brings up the research question of this paper, that is: Is the relationship between life expectancy and income different in countries that are growing endogenously?
Using a cross sectional data with 30 observations, this paper finds the relationship between life expectancy and income in countries that are growing endogenously. After gathering the data and doing the regression analysis using STATA, even though it is true that there is a positive correlation between the two variables, income has a very small impact towards life expectancy. There are other factors that would have a bigger impact to change life expectancy.

1. INTRODUCTION
Economists would often try to find a certain relationship between different variables. The relationship that was found is then shown to other economists, and people would start trying to either approve it right, or the other way, approve it wrong. One theory that is known to be proved correct is the relationship between life expectancy and income. However, there are still people who are trying to disapprove this theory as the world economy has changed.
Known as the “Preston Curve,” this theory is an empirical cross-sectional relationship between life expectancy
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