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137
Table 24: Difference in Difference Results
Years with
program Years without program
Angola -0.000666667 -0.002
Benin -0.00025 -0.002442857
Botswana -0.0195 0.0556
Burundi -0.003 -0.006366667
Cameroon -0.000125 0.002666667
Congo 0.002 -0.000555556
Ghana 0.000166667 -0.0016
Guinea -0.00425 0.002371429
Lesotho -0.0285 0.022777778
Madagascar 0.0004 0.00025
Mali -0.001 -0.001222222
Mozambique -0.012666667 0.0025
Niger -0.00725 0.003785714
Nigeria -0.0038 0.0065
Senegal -0.0004 0.0008
Sierra Leone -0.0135 0.005728571
South Africa -0.0045 0.03652
Swaziland -0.0104 0.052666667
Tanzania -0.007666667 -0.00075
Uganda -0.007266667 0.015
Zambia -0.000571429 -0.0285
Zimbabwe -0.0272 0.041766667
Bangladesh -0.00001 0.0008
Cambodia -0.0026 0.0005
Vietnam 0.000177778 0.0007
Brazil -0.012333333 0.028
Colombia -0.0005 0.000433333
Dominican Republic -0.0012 -0.001833333
Kazakhstan -0.0002 0.000266667
Peru 0.00025 0.000214286
Thailand -0.001466667 0.0026
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 145 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 137 Table 24: Difference in Difference Results Years with program Years without program Angola -0.000666667 -0.002 Benin -0.00025 -0.002442857 Botswana -0.0195 0.0556 Burundi -0.003 -0.006366667 Cameroon -0.000125 0.002666667 Congo 0.002 -0.000555556 Ghana 0.000166667 -0.0016 Guinea -0.00425 0.002371429 Lesotho -0.0285 0.022777778 Madagascar 0.0004 0.00025 Mali -0.001 -0.001222222 Mozambique -0.012666667 0.0025 Niger -0.00725 0.003785714 Nigeria -0.0038 0.0065 Senegal -0.0004 0.0008 Sierra Leone -0.0135 0.005728571 South Africa -0.0045 0.03652 Swaziland -0.0104 0.052666667 Tanzania -0.007666667 -0.00075 Uganda -0.007266667 0.015 Zambia -0.000571429 -0.0285 Zimbabwe -0.0272 0.041766667 Bangladesh -0.00001 0.0008 Cambodia -0.0026 0.0005 Vietnam 0.000177778 0.0007 Brazil -0.012333333 0.028 Colombia -0.0005 0.000433333 Dominican Republic -0.0012 -0.001833333 Kazakhstan -0.0002 0.000266667 Peru 0.00025 0.000214286 Thailand -0.001466667 0.0026 |
