US Funding for HIV Treatment Associated with Employment Gains in sub-Saharan Africa

Since 2003, the President’s Emergency Plan for AIDS Relief (PEPFAR) has provided billions of US tax dollars to expand HIV treatment, care, and prevention programs, mostly in sub-Saharan Africa. According to the Institute of Medicine, PEPFAR’s $54 billion authorization from 2003-2013 constitutes the “largest global health initiative focused on a single disease ever undertaken.” PEPFAR has generated significant health gains, sharply reducing HIV-related and all-cause mortality.

Even though PEPFAR’s dramatic health benefits are well documented, much less is known about its economic impact. Filling this evidence gap is important for US policymakers because 1) when Congress reauthorized PEPFAR it required the program to transition away from emergency assistance and strengthen the capacity of partner nations to provide treatment themselves, 2) Africa represents a small, but growing US export market, and, 3) amid US budget austerity, understanding the overall impact of PEPFAR allows efficient allocation of scarce aid resources.

The potential impact of HIV treatment on economic outcomes is in fact ambiguous. On one hand, treating HIV-positive individuals could increase productivity and reduce care-giving burdens. In addition, formerly sick patients could return to work, leading to better futures for their children. Moreover, HIV treatment substantially reduces the likelihood of disease transmission. Finally, greater life expectancy raises incentives for education and savings, since individuals live long enough to reap their benefits. On the other hand, by allowing formerly sick HIV patients to work, PEPFAR could lead to flooded labor markets, driving down wages, and increasing unemployment. Moreover, if HIV treatment saves lives, but some former patients cannot go back to work, PEPFAR could increase the dependency ratio, while mechanically decreasing per capita GDP.

Findings

To investigate the economic impact of PEPFAR, we compare employment trends between ten countries that received a large amount of PEPFAR funding (focus countries) against trends in eleven countries that received little or no funding (control countries), all in sub-Saharan Africa. We found that PEPFAR was associated with a 13 percent increase in employment among males in focus nations compared to non-focus ones (Figure 1).  In contrast, no change in employment was observed among females. In addition, we found that increasing PEPFAR per capita funding by $100 was associated with a 9.1-percentage-point average increase in employment among males.

SOURCE Authors’ analysis of data from the US Agency for International Development’s Demographic and Health Survey and of the World Bank’s World Development Indicators. NOTES Employment rates are for 1998–2003. The ten focus countries received a total of $54 billion of PEPFAR funding from 2004 to 2013. The eleven control countries received little or no PEPFAR funding in the same period. The countries in the two groups are listed in the text. Employment rates are from the Demographic and Health Survey and are from the same sample used in our main analysis. GDP is gross domestic product.

Figure 2 summarizes our main results where we observe that male employment in PEPFAR focus nations (solid blue) is lower than, but parallel to male employment in non-focus nations before PEPFAR’s initiation (dotted blue). However, after PEPFAR begins, employment increases faster in focus nations and catches up to employment in non-focus countries. We find the largest employment rise for males aged 15 to 24. This is partly because that group has the lowest initial employment rates and therefore the most room to grow. Indeed, at baseline males 15 to 24 had employment rates of 50%, while other age groups had rates closer to 90%. Combining our estimated increase in male employment (9.9 percentage points) with male population share by country and assuming the average wage is equal to GDP per capita, we calculate that PEPFAR’s benefits equal approximately 50% of program cost.

SOURCE Authors’ analysis of data from the US Agency for International Development (USAID) Demographic and Health Survey. NOTES The two pre-2004 waves of the Demographic and Health Survey are the two most recent before 2004, when the President’s Emergency Plan for AIDS Relief (PEPFAR) was implemented. The post-2004 wave combines all surveys after 2004. The exhibit presents data for all countries in the sample that had at least two survey waves prior to 2004—seven focus countries (Côte d’Ivoire, Kenya, Mozambique, Nigeria, Tanzania, Uganda, and Zambia) and six control countries (Benin, Burkina Faso, Cameroon, Ghana, Madagascar, and Mali). “Focus” and “control” countries are defined in Exhibit 1 . “Percent who worked” is the percentage of respondents who answered yes to a Demographic and Health Survey question asking if they had done any work (aside from household work) in the previous twelve months.

Finally, we investigate whether our results can be explained by changes in employment solely among the HIV-positive population or whether they imply spillovers to the HIV-negative as well. Given HIV prevalence and other studies on the likelihood of returning to work after treatment, we suggest the employment increase found was partly driven by economic stimulus that benefits the HIV negative too.

Policy Recommendations

This paper fits into an emerging literature on the economic impact of HIV treatment. Other studies show that treating the HIV positive led to nearly full employment recovery in South Africa, reduced acute and chronic malnutrition among Zambian children with an infected adult in the household, and expanded population-level employment for males also in South Africa. These findings imply that focusing exclusively on health effects underestimates the overall benefit of these programs and that economic impact should be incorporated into our development aid decisions. Indeed, health improvements constituted 24% of “full income”[i] growth between 2000 and 2011 in low- and middle-income nations. Given that international support for health is stagnant amid budget austerity, these findings show that efforts initially conceived as humanitarian can also bolster our policy arsenal to fight global poverty.


[i] Full income growth combines income growth measured using national income account with the intrinsic value of living longer measured monetarily (and inferred using willingness to trade-off income for increased life expectancy).

This post was cross-posted with Brookings Health360.