# | Study | Country | Study design | Sample | Statistical analysis | Economic impacts: Magnitudes and significance levels |
---|---|---|---|---|---|---|
1 | Thirumurthy et al., [39] | Kenya | Quasi-experimental | # of individuals,18-65: 3,009 | FE | 1. Labor force participation ↑: 20% * |
2. # of Hours worked ↑: 35% * | ||||||
3. Young boys resumed back to school | ||||||
2. | Larson et al., [40] | Kenya | Quasi-experimental | # of HIV-infect men tea plucker: 125 # of HIV-infect women tea plucker: 112 | ITT | 1. HIV-infected male and female tea-pluckers harvested 51% and 62% less tea, respectively, compared to healthy male and female tea-pluckers, respectively |
2. By the 24 months on ART, HIV-infected male tea-pluckers were 90% as productive as healthy male tea-pluckers; HIV-infected female workers were 80% as productive as healthy female tea-pluckers | ||||||
3 | Habyarimana, [41] | Botswana | Quasi-experimental | # of adults diamond mine workers: 441 | OLS, FE | 1. Absenteeism (=12 days) was comparable between HIV-infected on ART and healthy worker |
2. HIV-infected workers retained this rate of absenteeism for up to four years since ART initiation. | ||||||
4 | Coetzee, [42] | South Africa | Quasi-experimental | # of HIV-infected adults on ART = 237 | AFTM; Cox Proportional Hazard Model | 1. Time for transition from labor inactivity to actively looking for employment ↓ (p ≤ 0.05) |