Socio-Economic Determinants of HIV in Namibia

Coauthored with Idriss Adoum Adoum and Windkpuere Samuel Compaoré, this study investigates the prevalence of HIV in Namibia by analyzing socio-economic, cultural, and behavioral factors. We utilize data from the 2013 Demographic and Health Surveys (DHS) and employ a Probit model to examine the determinants of HIV serostatus. The analysis uncovers key trends, such as the influence of age at first sexual encounter, number of unions, and total sexual partners on the likelihood of infection. The findings reveal significant disparities in rural areas, particularly linked to education level and occupation, emphasizing the critical role of education in mitigating risks. Despite notable progress in combating HIV, the study underscores the need for targeted efforts with strategies tailored to the diverse socio-economic and cultural realities of Namibia.

The study also identifies limitations, including the necessity of more recent and longitudinal data, to deepen the understanding of the HIV/AIDS epidemic in Namibia and to refine future interventions.

Keywords:

Public Health • AIDS • Health Behavior • Health and Economic Development • Government Policy • Regulation

JEL Code:

I15

Results Summary

HIV Test Results

Recent HIV Test ResultFrequencyPercent
Negative5,41786.31%
Positive85913.69%
Total6,276100.00%

Description of Variables

VariableDescription
v012Age
v025Type of place of residence
v106Education level
v130Religion
v501Marital status
v503Number of unions
v525Age at first sexual intercourse
v701Partner’s education level
v730Partner’s age
v717Respondent’s occupation
v750Awareness of sexually transmitted diseases
v751Awareness of HIV/AIDS
v754cpReduce risk of HIV: Always use condoms
v754dpReduce risk of HIV: Have only one sexual partner
v761Condom used during the last sexual intercourse
v769Knows how to obtain condoms
v769aKnows how to obtain female condoms
v836Total number of sexual partners during lifetime
s928bRecent HIV test result

Descriptive Statistics

VariableObservationsMeanStd. Dev.MinMax
v0126,27633.04410.9861564
v0256,2761.460.49812
v1066,2761.7710.68103
v1306,2599.94325.512196
v5016,2760.9891.29905
v5316,24622.42719.68098
v5366,2241.8991.02903
v7013,1611.9471.60908
v7302,50742.16611.4441795
v754cp6,2730.9160.27701
v8365,9643.92611.066198

Regression Results

Table 1: Regression Results (1)

VariableModel (1)Model (2)Model (3)
v531-0.024-0.035-0.023
 (0.017)(0.022)(0.023)
sqrv5310.000*0.000*0.000
 (0.000)(0.000)(0.000)
v5030.534***0.498***0.466***
 (0.097)(0.110)(0.118)
v8360.0190.041*0.049**
 (0.016)(0.023)(0.024)
sqrv836-0.000-0.000*-0.000*
 (0.000)(0.000)(0.000)
v754cp (0)0.0000.0000.000
v754cp (1)0.0850.1410.081
 (0.135)(0.168)(0.171)
v754dp (0)0.0000.0000.000
v754dp (1)0.1510.1630.143
 (0.189)(0.236)(0.242)
v761 (0)0.0000.0000.000
v761 (1)0.618***0.598***0.592***
 (0.071)(0.086)(0.091)
v763a_recode (0)0.0000.0000.000
v763a_recode (1)0.663***0.743***0.805***
 (0.138)(0.169)(0.171)
N213018481835

Table 2: Regression Results (2)

VariableModel (1)Model (2)Model (3)
v769_recode (0)0.0000.0000.000
v769_recode (1)0.418**0.578**0.622**
 (0.210)(0.242)(0.254)
v769a_recode (0)0.0000.0000.000
v769a_recode (1)0.1360.1220.125
 (0.119)(0.141)(0.150)
v730 0.066**0.086**
  (0.032)(0.034)
sqrv730 -0.001*-0.001**
  (0.000)(0.000)
v012 0.216***0.238***
  (0.046)(0.049)
sqrv012 -0.003***-0.003***
  (0.001)(0.001)
v025 (1)0.0000.0000.000
v025 (2) 0.283***0.164*
  (0.083)(0.088)
N213018481835

Table 3: Regression Results (3)

VariableModel (1)Model (2)Model (3)
v130 (3)-0.0070.011 
 (0.104)(0.109) 
v130 (4)0.0630.305 
 (0.190)(0.203) 
v130 (96)-0.475**-0.398* 
 (0.193)(0.209) 
v501 (2)  0.170*
   (0.101)
N213018481835

Table 4: Regression Results (4)

VariableModel (1)Model (2)Model (3)
v701 (2)  -0.318**
   (0.148)
v701 (3)  -1.037***
   (0.298)
v717 (1)  -0.841***
   (0.198)
v717 (2)  -0.879***
   (0.304)
v717 (3)  -0.199*
   (0.103)
N213018481835

Note:
*p < 0.10, *p < 0.05, **p < 0.01