Note
Includes bibliography.
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2019
EDTF Date Created
2019
Description
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).
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).
Language
Type
Genre
Form
Extent
44 p.
Identifier
FAUHT00103
Rights
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Additional Information
Includes bibliography.
Thesis (B.A.)--Florida Atlantic University, Harriet L. Wilkes Honors College, 2019.
FAU Honors Theses Digital Collection
Date Backup
2019
Date Created Backup
2019
Date Text
2019
Date Created (EDTF)
2019
Date Issued (EDTF)
2019
Extension
FAU
IID
FAUHT00103
Organizations
Attributed name: Florida Atlantic University
Attributed name: Harriet L. Wilkes Honors College
Person Preferred Name
Schiefele, Elena
author
Physical Description
application/pdf
44 p.
Title Plain
A CROSS-NATIONAL ANALYSIS OF CHILD LABOR AND HEALTH
Use and Reproduction
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2019
2019
Florida Atlantic University
Jupiter, Florida
Physical Location
Florida Atlantic University Libraries
Place
Jupiter, Florida
Sub Location
Digital Library
Title
A CROSS-NATIONAL ANALYSIS OF CHILD LABOR AND HEALTH
Other Title Info
A CROSS-NATIONAL ANALYSIS OF CHILD LABOR AND HEALTH