Date of Award

2019

Document Type

Dissertation/Thesis

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Kennedy, Ashley

Abstract

Despite efforts by the United Nations, UNICEF, and the International Labor Organization (ILO), among others, child labor remains a widespread concern. In 2016, 152 million children were in child labor worldwide. Though child labor is widely recognized as a global health problem, research on the health effects of child labor is limited. Summary measures of population health provide a way to present information about both mortality and morbidity of a given population as a single metric. This project utilized gretl, an open-source statistical package, to model the data using ordinary least squares (OLS) in order to determine if there is a correlation between health, which was quantified using summary measures of population health, and child labor. The regression analysis showed that there is a significant correlation between child labor and health adjusted life expectancy (HALE) at birth, but not between child labor and disability adjusted life years (DALYs).

Comments

Includes bibliography.

Extent

44 p.

Identifier

FAUHT00103

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