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Effect of Health Insurance Uptake on Hesitancy toward COVID-19 Vaccines in Nigeria: A Recursive Bivariate Probit and Decomposition Estimation

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  • Abayomi Samuel Oyekale

    (Department of Agricultural Economic and Extension, North-West University, Mafikeng Campus, Mmabatho 2735, South Africa)

Abstract

Moral hazard remains one of the major challenges of health insurance administration. This paper recursively analyzed the effect of health insurance on the willingness to take COVID-19 vaccines in Nigeria. The data comprised 1892 unvaccinated respondents in the 2021/2022 National Longitudinal Phone Survey (NLPS). The data were analyzed with Coban’s recursive probit regression and decomposition approaches. The results revealed that 5.87% were health insured, and 7.93% were willing to take COVID-19 vaccines. Health insurance uptake significantly increased ( p < 0.05) with an adult being the decision-maker on vaccination, requiring family planning, and urban residence, while it reduced with loss of jobs and residence in the southeast and southwest zones. In addition, health insurance significantly ( p < 0.01) increased the willingness to take COVID-19 vaccines, along with each adult, all adults, and households’ heads being the major vaccination decision-makers, loss of jobs, and support for making COVID-19 vaccines compulsory. The average treatment effects (ATEs) and average treatment effect on the treated (ATET) of health insurance were significant ( p < 0.01), with positive impacts on willingness to be vaccinated. It was concluded that policy reforms to promote access to health insurance would enhance COVID-19 vaccination in Nigeria. In addition, hesitancy toward COVID-19 vaccines can be reduced by targeting adults and household heads with adequate information, while health insurance uptake should target southern states and rural areas.

Suggested Citation

  • Abayomi Samuel Oyekale, 2023. "Effect of Health Insurance Uptake on Hesitancy toward COVID-19 Vaccines in Nigeria: A Recursive Bivariate Probit and Decomposition Estimation," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2566-:d:1052974
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    References listed on IDEAS

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    1. Sandra L. Decker, 2005. "Medicare and the Health of Women with Breast Cancer," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 948-968.
    2. Linda N. Edwards & Takuya Hasebe & Tadashi Sakai, 2019. "Education and Marriage Decisions of Japanese Women and the Role of the Equal Employment Opportunity Act," Journal of Human Capital, University of Chicago Press, vol. 13(2), pages 260-292.
    3. Johar, Meliyanni, 2009. "The impact of the Indonesian health card program: A matching estimator approach," Journal of Health Economics, Elsevier, vol. 28(1), pages 35-53, January.
    4. Coban, Mustafa, 2020. "Redistribution Preferences, Attitudes towards Immigrants, and Ethnic Diversity," IAB-Discussion Paper 202023, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Hezekiah Olayinka Shobiye & Ibironke Dada & Njide Ndili & Emmanuella Zamba & Frank Feeley & Tobias Rinke de Wit, 2021. "Determinants and perception of health insurance participation among healthcare providers in Nigeria: A mixed-methods study," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-20, August.
    6. Abayomi Samuel Oyekale, 2022. "Factors Influencing Willingness to Be Vaccinated against COVID-19 in Nigeria," IJERPH, MDPI, vol. 19(11), pages 1-13, June.
    7. David Card & Carlos Dobkin & Nicole Maestas, 2008. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare," American Economic Review, American Economic Association, vol. 98(5), pages 2242-2258, December.
    8. Hasebe, Takuya, 2013. "Marginal effects of a bivariate binary choice model," Economics Letters, Elsevier, vol. 121(2), pages 298-301.
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    Cited by:

    1. Aloyce R. Kaliba & Donald R. Andrews, 2023. "The Impact of Meso-Level Factors on SARS-CoV-2 Vaccine Early Hesitancy in the United States," IJERPH, MDPI, vol. 20(13), pages 1-27, July.

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