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79 Table 4b: Descriptive Statistics (Continued) Percent Muslim Gender Lit. Gap Male Pop. Male Pop. 1995 Literacy Rate Phones per 100 people Mean 0.284543 0.736522 0.132576 0.141087 0.758696 0.048413 Median 0.131000 0.770000 0.136000 0.141500 0.790000 0.014500 Maximum 1.000000 1.010000 0.158000 0.189000 1.000000 0.230000 Minimum 0.000000 0.000000 0.040000 0.090000 0.240000 0.001000 Std. Dev. 0.342989 0.228144 0.020847 0.017063 0.211099 0.061737 Skewness 0.986041 -0.898495 -2.343567 0.051694 -0.727822 1.438313 Kurtosis 2.459540 3.642862 9.979522 4.930817 2.482187 3.982892 Jarque-B. 8.013980 6.981358 135.4757 7.165926 4.575139 17.71202 Probability 0.018188 0.030480 0.000000 0.027793 0.101513 0.000143 Obs. 46 46 46 46 46 46 Phones 95 AIDS N.95 AIDS N. Civil War LegalProst. WB MAP Mean 0.026024 0.058135 0.060652 0.304348 0.391304 0.434783 Median 0.008000 0.042500 0.040500 0.000000 0.000000 0.000000 Maximum 0.181000 0.283000 0.334000 1.000000 1.000000 1.000000 Minimum 0.000100 0.000000 0.000000 0.000000 0.000000 0.000000 Std. Dev. 0.038888 0.063154 0.075079 0.465215 0.493435 0.501206 Skewness 2.159116 1.526975 1.923276 0.850420 0.445435 0.263117 Kurtosis 7.572950 5.316282 6.283076 1.723214 1.198413 1.069231 Jarque-B. 75.82142 28.15923 49.01789 8.669158 7.742121 7.675853 Probability 0.000000 0.000001 0.000000 0.013107 0.020836 0.021538 Obs. 46 46 46 46 46 46 GNI 95 GNI MD Decent. MS*Dec. MS*GovEf Mean 818.9130 1147.174 0.563801 4.754132 2.706594 0.308449 Median 390.0000 570.0000 0.572727 5.141510 2.337047 0.134430 Maximum 3790.000 5010.000 1.000000 12.37871 12.37871 6.354207 Minimum 140.0000 160.0000 0.000000 0.000000 0.000000 0.000000 Std. Dev. 952.2727 1198.914 0.385842 2.839952 2.743012 0.923055 Skewness 2.055225 1.698749 -0.180745 -0.257102 1.406204 6.302741 Kurtosis 6.525677 5.225283 1.586087 3.078455 5.110941 41.80817 Jarque-B. 56.20853 31.61519 4.082165 0.518576 23.70094 3191.196 Probability 0.000000 0.000000 0.129888 0.771601 0.000007 0.000000 Obs. 46 46 46 46 46 46 MS*RuLw Gov. Eff. New Reg. School En. Avg. Inv. % in Mil. Mean 0.156836 0.648049 0.673913 0.182717 0.194348 0.012609 Median 0.112591 0.352818 1.000000 0.129000 0.195000 0.010000 Maximum 0.571000 13.97927 1.000000 0.860000 0.340000 0.100000 Minimum 0.000000 0.061909 0.000000 0.005000 0.070000 0.000000 Std. Dev. 0.146837 2.015479 0.473960 0.163667 0.054473 0.019141 Skewness 0.964603 6.495955 -0.741982 1.977484 0.336447 2.871120 Kurtosis 3.033982 43.48235 1.550538 7.938496 3.108178 12.21391 Jarque-B. 7.135726 3464.586 8.247592 76.72514 0.890271 225.9163 Probability 0.028216 0.000000 0.016183 0.000000 0.640737 0.000000 Obs. 46 46 46 46 46 46
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 87 |
Contributing entity | University of Southern California |
Repository email | cisadmin@lib.usc.edu |
Full text | 79 Table 4b: Descriptive Statistics (Continued) Percent Muslim Gender Lit. Gap Male Pop. Male Pop. 1995 Literacy Rate Phones per 100 people Mean 0.284543 0.736522 0.132576 0.141087 0.758696 0.048413 Median 0.131000 0.770000 0.136000 0.141500 0.790000 0.014500 Maximum 1.000000 1.010000 0.158000 0.189000 1.000000 0.230000 Minimum 0.000000 0.000000 0.040000 0.090000 0.240000 0.001000 Std. Dev. 0.342989 0.228144 0.020847 0.017063 0.211099 0.061737 Skewness 0.986041 -0.898495 -2.343567 0.051694 -0.727822 1.438313 Kurtosis 2.459540 3.642862 9.979522 4.930817 2.482187 3.982892 Jarque-B. 8.013980 6.981358 135.4757 7.165926 4.575139 17.71202 Probability 0.018188 0.030480 0.000000 0.027793 0.101513 0.000143 Obs. 46 46 46 46 46 46 Phones 95 AIDS N.95 AIDS N. Civil War LegalProst. WB MAP Mean 0.026024 0.058135 0.060652 0.304348 0.391304 0.434783 Median 0.008000 0.042500 0.040500 0.000000 0.000000 0.000000 Maximum 0.181000 0.283000 0.334000 1.000000 1.000000 1.000000 Minimum 0.000100 0.000000 0.000000 0.000000 0.000000 0.000000 Std. Dev. 0.038888 0.063154 0.075079 0.465215 0.493435 0.501206 Skewness 2.159116 1.526975 1.923276 0.850420 0.445435 0.263117 Kurtosis 7.572950 5.316282 6.283076 1.723214 1.198413 1.069231 Jarque-B. 75.82142 28.15923 49.01789 8.669158 7.742121 7.675853 Probability 0.000000 0.000001 0.000000 0.013107 0.020836 0.021538 Obs. 46 46 46 46 46 46 GNI 95 GNI MD Decent. MS*Dec. MS*GovEf Mean 818.9130 1147.174 0.563801 4.754132 2.706594 0.308449 Median 390.0000 570.0000 0.572727 5.141510 2.337047 0.134430 Maximum 3790.000 5010.000 1.000000 12.37871 12.37871 6.354207 Minimum 140.0000 160.0000 0.000000 0.000000 0.000000 0.000000 Std. Dev. 952.2727 1198.914 0.385842 2.839952 2.743012 0.923055 Skewness 2.055225 1.698749 -0.180745 -0.257102 1.406204 6.302741 Kurtosis 6.525677 5.225283 1.586087 3.078455 5.110941 41.80817 Jarque-B. 56.20853 31.61519 4.082165 0.518576 23.70094 3191.196 Probability 0.000000 0.000000 0.129888 0.771601 0.000007 0.000000 Obs. 46 46 46 46 46 46 MS*RuLw Gov. Eff. New Reg. School En. Avg. Inv. % in Mil. Mean 0.156836 0.648049 0.673913 0.182717 0.194348 0.012609 Median 0.112591 0.352818 1.000000 0.129000 0.195000 0.010000 Maximum 0.571000 13.97927 1.000000 0.860000 0.340000 0.100000 Minimum 0.000000 0.061909 0.000000 0.005000 0.070000 0.000000 Std. Dev. 0.146837 2.015479 0.473960 0.163667 0.054473 0.019141 Skewness 0.964603 6.495955 -0.741982 1.977484 0.336447 2.871120 Kurtosis 3.033982 43.48235 1.550538 7.938496 3.108178 12.21391 Jarque-B. 7.135726 3464.586 8.247592 76.72514 0.890271 225.9163 Probability 0.028216 0.000000 0.016183 0.000000 0.640737 0.000000 Obs. 46 46 46 46 46 46 |