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The Economic Impact of HIV/AIDS

The Economic Impact of HIV/AIDS. Shanta Devarajan. How HIV/AIDS affects the economy. Labor supply (e.g., South African labor force expected to decline by 12.8 percent by 2010) But: a 13 percent decline in labor supply reduces GDP by only 8 percent or so, implying that GDP per capita rises.

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The Economic Impact of HIV/AIDS

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  1. The Economic Impact of HIV/AIDS Shanta Devarajan

  2. How HIV/AIDS affects the economy • Labor supply (e.g., South African labor force expected to decline by 12.8 percent by 2010) • But: a 13 percent decline in labor supply reduces GDP by only 8 percent or so, implying that GDP per capita rises

  3. How HIV/AIDS affects the economy (cont’d) • Productivity losses (absenteeism, retraining workers, death benefits) • Estimated to add upto 15 percent to companies’ wage bill (South Africa, Cote d’Ivoire) • But: Large companies especially are able to adapt, reducing productivity losses

  4. How HIV/AIDS affects the economy (cont’d) • Public finances • Increased health expenditures, reducing public investment • Reduces GDP growth • But: Assumes that public investment would have been productive

  5. Previous estimates of theimpact of AIDS on GDP growth (%)

  6. How HIV/AIDS affects the economy (cont’d) • Human capital • AIDS kills young adults • Reduces incentive and means to invest in children’s education • Reduces parents’ transmission of knowledge to their children

  7. Implications • Children’s ability to invest in their children’s education is lower, and so on… • Vicious cycle • Previous estimates of impact of AIDS may seriously underestimate the long-run impact

  8. Overlapping-generations model Λt = family’s human capital at t s=state of family (father dies, mother dies, etc.) z(s)Λt(s) = transmission of knowledge from parents to children e=amount of education Then: Λt+1 = z(s)Λtf(e) + 1

  9. Overlapping generations model (cont’d) Note that e is the result of the family solving : Max EU (ct, Λt+1) s.t. y=α[Λt + 2(1-e)] Increase in probability of premature adult mortality lowers both Λt and Λt+1

  10. South Africa: Probabilities

  11. South Africa: Probabilities

  12. Effect of AIDS (with pooling)

  13. Effect of AIDS

  14. Policy responses • Spend on public goods to reduce premature mortality • Need additional spending of 3-4% of GDP per year to restore growth • Lump-sum subsidies to families • Modest growth restored • School-attendance subsidies • Rapid growth restored

  15. Kenya: Probability of premature adult mortality

  16. Kenya

  17. India • Overall prevalence rate <1% • BUT: Six states have generalized epidemics (>1% prevalence reported in prenatal clinics) • In one of these states (Tamil Nadu), percentage of truckers paying for sex rose in 2002 (to 21%) • Only 37% of them used condoms • In Orissa, 61% of women have never heard of AIDS

  18. Conclusion • AIDS is different from other diseases since it affects young adults • Economic impact of AIDS is not just on this generation, but the next, whose education will suffer • Economic costs can be huge, and felt many years from now • Early and strong action can reduce these costs

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