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85
as much data as possible was collected for the re-estimation and the same countries
from Over’s (1998) original model were used. Some (though not all) identical
results were found, most likely due to differences in data sources and the non-inclusion
of the “foreign-born percentage” variable. Nonetheless, the signs of the
estimated coefficients with one exception (military population) are consistent with
those expected and two out of the six variables are also statistically significant.
Furthermore, when the variable for having a multisectoral HIV/AIDS program as of
1997 was included, the influence on the 1997 HIV/AIDS rate was found to be
negative and significant. Specifically, the results for all variables are as follows:
• The Gini coefficient in estimation I has a significant and positive influence
on the 1997 HIV/AIDS rate indicating that income inequality worsens
HIV/AIDS as a disproportionate amount of assistance and information for the
rich is likely to leave the poor more vulnerable to the disease (Gini is not
significant in estimation II).
• The Muslim percentage of the population in estimations I and II has a
significant and negative influence on the 1997 HIV/AIDS rate indicating that
the rules (no sex outside the marriage) and morals instilled when practicing
the religion help in curbing HIV/AIDS.
• GDP per capita 1997 in estimations I and II has an insignificant and negative
influence on the 1997 HIV/AIDS rate indicating that wealth has a negative
influence on the HIV/AIDS rate as more money can bring about more
Object Description
| Title | Political determinants and economic effects of HIV/AIDS: a push for the multisectoral approach |
| Author | Davis, Dollie |
| Author email | dollieda@usc.edu; dolliesdavis@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Political Economy & Public Policy |
| School | College of Letters, Arts and Sciences |
| Date defended/completed | 2008-07-15 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-10-30 |
| Advisor (committee chair) | Wise, Carol |
| Advisor (committee member) |
Nugent, Jeffrey B. Chi, Iris |
| Abstract | The proposed dissertation offers an explanation for the large differences in HIV/AIDS rates among 89 low and middle-income countries throughout the Sub Saharan African, Asian, and Latin American regions over a ten-year period (1995-2005). The HIV/AIDS rates in these countries vary widely and seemingly independently of economic wealth. One possible determinant of these differences is the presence and degree of development of strong multisectoral programs aimed at both prevention and cure of HIV/AIDS. The main hypothesis for this dissertation is: "A country's success in combating HIV/AIDS lies in the government's ability to implement an effective multisectoral program." This hypothesis is explored through quantitative models using data from the ten-year period (1995-2005). Results show that the presence of a multisectoral program over the ten-year period is associated with a significantly lower HIV/AIDS incidence rate by 2005. This effect is produced by controlling for various political, economic, societal, and institutional factors. Although there is some anecdotal evidence which suggests that multisectoral programs help to improve the HIV/AIDS problem in developing countries, there has been little if any empirical work done on this subject to date. |
| Keyword | multisectoral; HIV/AIDS; economic development |
| Geographic subject (region) | Carribbean |
| Geographic subject (continent) | Africa; Asia; South America |
| Coverage date | 1995/2005 |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m1724 |
| Contributing entity | University of Southern California |
| Rights | Davis, Dollie |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-Davis-2422 |
| Archival file | uscthesesreloadpub_Volume44/etd-Davis-2422.pdf |
Description
| Title | Page 93 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 85 as much data as possible was collected for the re-estimation and the same countries from Over’s (1998) original model were used. Some (though not all) identical results were found, most likely due to differences in data sources and the non-inclusion of the “foreign-born percentage” variable. Nonetheless, the signs of the estimated coefficients with one exception (military population) are consistent with those expected and two out of the six variables are also statistically significant. Furthermore, when the variable for having a multisectoral HIV/AIDS program as of 1997 was included, the influence on the 1997 HIV/AIDS rate was found to be negative and significant. Specifically, the results for all variables are as follows: • The Gini coefficient in estimation I has a significant and positive influence on the 1997 HIV/AIDS rate indicating that income inequality worsens HIV/AIDS as a disproportionate amount of assistance and information for the rich is likely to leave the poor more vulnerable to the disease (Gini is not significant in estimation II). • The Muslim percentage of the population in estimations I and II has a significant and negative influence on the 1997 HIV/AIDS rate indicating that the rules (no sex outside the marriage) and morals instilled when practicing the religion help in curbing HIV/AIDS. • GDP per capita 1997 in estimations I and II has an insignificant and negative influence on the 1997 HIV/AIDS rate indicating that wealth has a negative influence on the HIV/AIDS rate as more money can bring about more |
