Assessing the Economic Impact of HIV/AIDS on Nigerian Households

In this paper,  Canning, Mahal, Odumosu and Okonkwo (2006) use propensity score matching to assess the affect of HIV/AIDS on an individual's ability to access health care in Nigeria.

The study  “compare[s] HIV positive people with a control group with similar observed characteristics, using propensity score matching. The matched control group has very different health and economic outcomes than a random sample of the population indicating that our HIV sample would not have had "average" outcomes even if they had not acquired HIV." (Canning, Mahal, Odumosu and Okonkwo 2006)

Contents

  • Introduction
  • Sampling procedure, data and methodology
  • Findings and discussion
  • Conclusions
  • References
  • Table 1: Summary statistics for households reporting HIV-positive members (treatment) and households without HIV-positive members (control)
  • Table 2: Propensity score regressions
  • Table 3: Effect of HIV-positive status on morbidity, hospitalization, health spending, loss of usual activity and care-giving among matched individuals
  • Table 4: Annual direct and indirect income losses from ill health

Source

Canning, D., Mahal, A., Odumosu, K., & Okonkwo, P. Harvard Initiative for Global Health, Program on the Global Demography of Aging. (2006). Assessing the economic impact of hiv/aids on nigerian households: A propensity score matching approach. Retrieved from website: http://www.hsph.harvard.edu/pgda/WorkingPapers/2006/PGDA_WP_16.pdf

0
No votes yet
Rate this Resource:
This resource is useful for:
A special thanks to this page's contributors
Author
Melbourne.

Comments

There are currently no comments. Be the first to comment on this page!

Add new comment

Login Login and comment as BetterEvaluation member or simply fill out the fields below.