Event Title

Economic Factors Influencing Life Expectancy Across Nations

Poster Number

032

Presenter Information

Alexander TsiukesFollow

Faculty Mentor

Laura Ullrich, Ph.D.

College

College of Business Administration

Department

Department of Accounting, Finance, and Economics

Location

Richardson Ballroom (DIGS)

Start Date

20-4-2018 2:15 PM

End Date

20-4-2018 4:15 PM

Description

Utilizing data from the World Bank and World Health Organization, this paper will attempt to explain factors influencing health across nations. The data sets collected contained information on different independent variables influencing health across countries, such as the poverty headcount ratio at $1.90, GNI per capita, expenditure on health care per capita, lower secondary education completion rates, and the number of physicians per 1000 citizens. The dependent variable used to determine the overall health of a country was the country’s life expectancy at birth. Specifically, this paper analyzes the relationship between a country’s poverty headcount ratio at $1.90 and life expectancy at birth. Regressions on these variables throughout my paper will show how closely they are related, if at all. Based on previous literature exploring the relationship between income inequality in a society and the respective society’s overall health, I hypothesize that life expectancy will increase significantly as the poverty headcount ratio at $1.90 decreases.

Previously Presented/Performed?

Fourth Annual Showcase of Undergraduate Research and Creative Endeavors (SOURCE), Winthrop University, April 2018

Course Assignment

ECON 306 – Ullrich

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Apr 20th, 2:15 PM Apr 20th, 4:15 PM

Economic Factors Influencing Life Expectancy Across Nations

Richardson Ballroom (DIGS)

Utilizing data from the World Bank and World Health Organization, this paper will attempt to explain factors influencing health across nations. The data sets collected contained information on different independent variables influencing health across countries, such as the poverty headcount ratio at $1.90, GNI per capita, expenditure on health care per capita, lower secondary education completion rates, and the number of physicians per 1000 citizens. The dependent variable used to determine the overall health of a country was the country’s life expectancy at birth. Specifically, this paper analyzes the relationship between a country’s poverty headcount ratio at $1.90 and life expectancy at birth. Regressions on these variables throughout my paper will show how closely they are related, if at all. Based on previous literature exploring the relationship between income inequality in a society and the respective society’s overall health, I hypothesize that life expectancy will increase significantly as the poverty headcount ratio at $1.90 decreases.