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Willingness to pay and determinants of choice for improved malaria treatment in rural Nepal

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  • Morey, Edward R.
  • Sharma, Vijaya R.
  • Mills, Anne

Abstract

A logit model is used to estimate provider choice from six types by malaria patients in rural Nepal. Patient characteristics that influence choice include travel costs, income category, household size, gender, and severity of malaria. Income effects are introduced by assuming the marginal utility of money is a step function of expenditures on the numeraire. This method of incorporating income effects is ideally suited for situations when exact income data is not available. Significant provider characteristics include wait time for treatment and wait time for laboratory results. Household willingness to pay (wtp) is estimated for increasing the number of providers and for providing more sites with blood testing capabilities. Wtp estimates vary significantly across households and allow one to assess how much different households would benefit or lose under different government proposals.

Suggested Citation

  • Morey, Edward R. & Sharma, Vijaya R. & Mills, Anne, 2003. "Willingness to pay and determinants of choice for improved malaria treatment in rural Nepal," Social Science & Medicine, Elsevier, vol. 57(1), pages 155-165, July.
    • Handle: RePEc:eee:socmed:v:57:y:2003:i:1:p:155-165
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    Citations

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    Cited by:

    1. Ryan Bosworth & Trudy Ann Cameron & J.R. DeShazo, 2010. "Is an Ounce of Prevention Worth a Pound of Cure? Comparing Demand for Public Prevention and Treatment Policies," Medical Decision Making, , vol. 30(4), pages 40-56, July.
    2. Mehmet Kutluay & Roy Brouwer & Richard S. J. Tol, 2019. "Valuing malaria morbidity: results from a global meta-analysis," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 8(3), pages 301-321, July.
    3. Wiseman, Virginia & Scott, Anthony & Conteh, Lesong & McElroy, Brendan & Stevens, Warren, 2008. "Determinants of provider choice for malaria treatment: Experiences from The Gambia," Social Science & Medicine, Elsevier, vol. 67(4), pages 487-496, August.
    4. Kannika Damrongplasit & Tshering Wangdi, 2017. "Healthcare utilization, bypass, and multiple visits: the case of Bhutan," International Journal of Health Economics and Management, Springer, vol. 17(1), pages 51-81, March.
    5. Sharma, Vijaya Raj, 2008. "When to seek health care: A duration analysis for malaria patients in Nepal," Social Science & Medicine, Elsevier, vol. 66(12), pages 2486-2494, June.
    6. Trani, Jean-Francois & Bakhshi, Parul & Noor, Ayan A. & Lopez, Dominique & Mashkoor, Ashraf, 2010. "Poverty, vulnerability, and provision of healthcare in Afghanistan," Social Science & Medicine, Elsevier, vol. 70(11), pages 1745-1755, June.
    7. Philip H. Brown & Caroline Theoharides, 2009. "Health‐seeking behavior and hospital choice in China's New Cooperative Medical System," Health Economics, John Wiley & Sons, Ltd., vol. 18(S2), pages 47-64, July.
    8. Habbani, Khalid & Groot, Wim & Jelovac, Izabela, 2006. "Household health-seeking behaviour in Khartoum, Sudan: The willingness to pay for public health services if these services are of good quality," Health Policy, Elsevier, vol. 75(2), pages 140-158, January.
    9. J.M.C. Santos Silva, 2004. "Deriving welfare measures in discrete choice experiments: a comment to Lancsar and Savage (2)," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 913-918, September.

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