IDEAS home Printed from https://ideas.repec.org/a/ags/afjecr/330306.html
   My bibliography  Save this article

Determinants of Demand for Private Health Insurance in Uganda

Author

Listed:
  • Medard, Turyamureba
  • Yawe, Bruno L.
  • Bosco, Oryema John

Abstract

Health insurance coverage in Uganda is still very low, with only five percent of the individuals covered by any form of health insurance. This study examines the factors that influence demand for private health insurance in Uganda using the 2016 Uganda Demographic Health Survey data. A logistic regression model was employed to identify the determinants of demand for voluntary health insurance in Uganda. The results showed that wealth index, level of education, age of the individual, marital status, residence, and access to information were significant factors affecting uptake of health insurance in Uganda. Individuals from well off households were more likely to have a health insurance cover compared to individuals from the poor ones. Also, individuals who had access to information through listening to radio, reading newspapers, and watching television were more likely to demand health insurance compared to those without access. The findings, therefore, highlight the need for poverty reduction strategies to enhance the incomes of the poor and provide educational interventions regarding the benefits of health insurance in all regions.

Suggested Citation

  • Medard, Turyamureba & Yawe, Bruno L. & Bosco, Oryema John, 2022. "Determinants of Demand for Private Health Insurance in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 10(3), June.
  • Handle: RePEc:ags:afjecr:330306
    DOI: 10.22004/ag.econ.330306
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/330306/files/226621-Article%20Text-552315-1-10-20220613.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.330306?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.
    2. Johannes Jütting, 2003. "Health Insurance for the Poor?: Determinants of Participation in Community-Based Health Insurance Schemes in Rural Senegal," OECD Development Centre Working Papers 204, OECD Publishing.
    3. Finn, Claire & Harmon, Colm, 2006. "A dynamic model of demand for private health insurance in Ireland," Papers HRBWP17, Economic and Social Research Institute (ESRI).
    4. A. C. Cameron & P. K. Trivedi & Frank Milne & J. Piggott, 1988. "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(1), pages 85-106.
    5. Tadashi Yamada & Tetsuji Yamada & Chia-Ching Chen & Weihong Zeng, 2014. "Determinants of health insurance and hospitalization," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-27, December.
    6. repec:ucn:wpaper:10197/1109 is not listed on IDEAS
    7. Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
    8. Joseph G. Eisenhauer, 2006. "The Theory of Demand for Health Insurance: A Review Essay," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 29(1), pages 71-87.
    9. Claire Finn & Colm Harmon, 2006. "A dynamic model of demand for private health insurance in Ireland by and," Working Papers 200612, Geary Institute, University College Dublin.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Denise Doiron & Nathan Kettlewell, 2020. "Family formation and the demand for health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 29(4), pages 523-533, April.
    2. Kwame Adjei-Mantey & Charles Yuji Horioka, 2023. "Determinants of health insurance enrollment and health expenditure in Ghana: an empirical analysis," Review of Economics of the Household, Springer, vol. 21(4), pages 1269-1288, December.
    3. Okore Apia Okorafor, 2012. "National health insurance reform in South Africa," Applied Health Economics and Health Policy, Springer, vol. 10(3), pages 189-200, May.
    4. Turyamureba, Medard & Yawe, Bruno L. & Oryema, John Bosco, 2022. "Factors Influencing the Choice of Private Health Care Providers in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    5. Kanika Kapur, 2020. "Private Health Insurance in Ireland: Trends and Determinants," The Economic and Social Review, Economic and Social Studies, vol. 51(1), pages 63-92.
    6. Okore Okorafor, 2012. "National health insurance reform in South Africa," Applied Health Economics and Health Policy, Springer, vol. 10(3), pages 189-200, May.
    7. Fernández-Antolín, Anna & Guevara, C. Angelo & de Lapparent, Matthieu & Bierlaire, Michel, 2016. "Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data," Journal of choice modelling, Elsevier, vol. 20(C), pages 1-15.
    8. Guerrero, Thomas E. & Guevara, C. Angelo & Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2022. "Characterizing the impact of discrete indicators to correct for endogeneity in discrete choice models," Journal of choice modelling, Elsevier, vol. 42(C).
    9. Fukushi, Mitsuyoshi & Delgado, Felipe & Raveau, Sebastián, 2024. "Impact of omitted variable and simultaneous estimation endogeneity in choice-based revenue management systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    10. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    11. Brathwaite, Timothy & Walker, Joan L., 2018. "Causal inference in travel demand modeling (and the lack thereof)," Journal of choice modelling, Elsevier, vol. 26(C), pages 1-18.
    12. Dudinskaya, Emilia Cubero & Naspetti, Simona & Zanoli, Raffaele, 2020. "Using eye-tracking as an aid to design on-screen choice experiments," Journal of choice modelling, Elsevier, vol. 36(C).
    13. Mario Lucchini & Christine Butti & Sara Della Bella & Angela Lisi, 2018. "The application of a topological clustering technique to capture forms and dynamics of deprivation in contemporary Switzerland," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 227-248, January.
    14. Gabriela Mihaela Mure?an & Cristian Mihai Dragos & Codru?a Mare & Simona Laura Dragos & Alexandra Pintea, 2021. "Socio-Economic and Macro-Financial Determinants and Spatial Effects on European Private Health Insurance Markets," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 290-290, February.
    15. Damien Eldridge & Catagay Koc & Ilke Onur & Malathi Velamuri, 2011. "The Impact of Private Hospital Insurance on Utilization of Hospital Care in Australia: Evidence from the National Health Survey," Working Papers 2011.01, School of Economics, La Trobe University, revised Jan 2011.
    16. Aysit Tansel & Halil Ibrahim Keskin, 2017. "Education Effects on Days Hospitalized and Days out of Work by Gender: Evidence from Turkey," Koç University-TUSIAD Economic Research Forum Working Papers 1721, Koc University-TUSIAD Economic Research Forum.
    17. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    18. Nolan, Anne & Nolan, Brian, 2003. "A Cross-Sectional Analysis of the Utilisation of GP Services in Ireland: 1987-2001," Papers HRBWP01, Economic and Social Research Institute (ESRI).
    19. Lurkin, Virginie & Garrow, Laurie A. & Higgins, Matthew J. & Newman, Jeffrey P. & Schyns, Michael, 2017. "Accounting for price endogeneity in airline itinerary choice models: An application to Continental U.S. markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 228-246.
    20. Nathan Kettlewell, 2019. "Utilization and Selection in an Ancillaries Health Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 86(4), pages 989-1017, December.

    More about this item

    Keywords

    Health Economics and Policy;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:afjecr:330306. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://www.ajol.info/index.php/ajer/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.