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The Impact of Subsidized Antimalarials on Treatment Seeking Behavior

Listed author(s):
  • Jacqueline Fiore

    ()

    (Department of Economics, Tulane University)

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    I investigate the effect of the first multi-country antimalarial subsidy on the type and source of treatment taken for children under five years of age reporting a fever. I use nationally representative, cross-sectional survey data from sixteen malaria endemic African countries over a ten year period. My research design exploits the within country variation in malaria treatment subsidies. Artemisinin-based Combination Therapies (ACTs) are the recommended first line treatment for uncomplicated malaria. Overall, the ACTs subsidy achieved two of its main objectives. Among children reporting a fever, countries offering subsidized ACTs showed a statistically significant 8.1 percentage point increase in ACTs taken from private sector outlets compared to countries not participating in the subsidy. To complement these results, the ACTs subsidy was associated with a decrease of 10.7 percentage points in children taking lesser effective antimalarial monotherapies from any source for participating countries. However, the effect of the ACTs subsidy was not consistent among the four countries participating in the subsidy. Uganda showed the desired response with the greatest magnitude to the subsidy whereas no significant effect was observed in Ghana. The mixed results among countries participating in the ACTs subsidy may be due to differences in ACTs availability, price, market share, and supporting interventions.

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    File URL: http://econ.tulane.edu/RePEc/pdf/tul1717.pdf
    File Function: First Version, September 2017
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    Paper provided by Tulane University, Department of Economics in its series Working Papers with number 1717.

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    Date of creation: Sep 2017
    Handle: RePEc:tul:wpaper:1717
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    Web page: http://econ.tulane.edu

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    1. Jessica Cohen & Pascaline Dupas & Simone Schaner, 2015. "Price Subsidies, Diagnostic Tests, and Targeting of Malaria Treatment: Evidence from a Randomized Controlled Trial," American Economic Review, American Economic Association, vol. 105(2), pages 609-645, February.
    2. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
    3. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
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