Graduation Year
2018
Participation Type
Poster
Title of Poster or Paper
Mercenaries and Poverty: A Panel Data Study on Defense/Military and Education Spending and Their Effects on Poverty Related Metrics
Mentor/s
Prof. Khayawa Mamun
Location
University Commons
Start Day/Time
4-20-2018 1:00 PM
End Day/Time
4-20-2018 3:00 PM
Abstract
This research paper explores the possible relationship between a nation’s defense/military and education spending and its effect on the nation’s income inequality. Several prior studies have found that there seems to be a direct relationship between defense/military spending and income inequality. However, there is lack of papers that have examined adding the additional variable of education or included multiple countries in its analysis. The purpose of this paper is to fill the hole in the research of the topic by including fourteen nations and the additional variable. Specifically, the paper includes data from 2004 to 2014, including the percentage of GDP spent on education, the percentage of GDP spent on defense/military, and the Gini Coefficient (a measure of income inequality). The study was unable to find a statistically significant relationship between the three variables for the countries analyzed. This suggests that while the association has been shown previously for single nations, it is not necessarily a wide spread connection.
College
Welch College of Business
College and Major available
Business Economics, Finance
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Mercenaries and Poverty: A Panel Data Study on Defense/Military and Education Spending and Their Effects on Poverty Related Metrics
University Commons
This research paper explores the possible relationship between a nation’s defense/military and education spending and its effect on the nation’s income inequality. Several prior studies have found that there seems to be a direct relationship between defense/military spending and income inequality. However, there is lack of papers that have examined adding the additional variable of education or included multiple countries in its analysis. The purpose of this paper is to fill the hole in the research of the topic by including fourteen nations and the additional variable. Specifically, the paper includes data from 2004 to 2014, including the percentage of GDP spent on education, the percentage of GDP spent on defense/military, and the Gini Coefficient (a measure of income inequality). The study was unable to find a statistically significant relationship between the three variables for the countries analyzed. This suggests that while the association has been shown previously for single nations, it is not necessarily a wide spread connection.
