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Private health investments under competing risks: Evidence from malaria control in Senegal

Author

Listed:
  • Pauline Rossi

    (UVA - Université d'Amsterdam)

  • Paola Villar

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, UP1 - Université Paris 1 Panthéon-Sorbonne)

Abstract

This study exploits the introduction of high subsidies for anti-malaria products in Senegal in 2009 to investigate whether malaria prevents parents from investing in child health. A simple model of health investments under competing mortality risks predicts that private expenses to fight malaria and other diseases should increase in response to anti-malaria public interventions. We test and validate this prediction using original panel data from a household expenditure survey combined with geographical information on malaria prevalence. We find that health expenditures in malarious regions catch up with non-malarious regions. The same result holds for parental health-seeking behavior against other diseases like diarrhea. These patterns cannot be explained by differential trends between regions. Our results suggest that behavioral responses to anti-malaria campaigns magnify their impact on all-cause mortality for children.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Pauline Rossi & Paola Villar, 2020. "Private health investments under competing risks: Evidence from malaria control in Senegal," Post-Print hal-05423222, HAL.
  • Handle: RePEc:hal:journl:hal-05423222
    DOI: 10.1016/j.jhealeco.2020.102330
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Chris Sampson’s journal round-up for 5th October 2020
      by Chris Sampson in The Academic Health Economists' Blog on 2020-10-05 11:00:05

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    Cited by:

    1. is not listed on IDEAS
    2. Bruno Wichmann & Roberta Moreira Wichmann, 2024. "Using machine learning to estimate health spillover effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(4), pages 717-730, June.
    3. David E. Bloom & Michael Kuhn & Klaus Prettner, 2022. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 85-131, March.
    4. Li, Li & Xiao, Yun, 2023. "Beyond boiling: The effect of in utero exposure to treated tap water on childhood health," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    5. Fabre, Anaïs, 2022. "Robustness of Two-Way Fixed Effects Estimators to Heterogeneous Treatment Effects," TSE Working Papers 22-1362, Toulouse School of Economics (TSE), revised Jul 2025.

    More about this item

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I1 - Health, Education, and Welfare - - Health
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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