IDEAS home Printed from https://ideas.repec.org/p/qed/dpaper/4534.html
   My bibliography  Save this paper

Family Decision Making on Healthcare Spending: New Evidence for Nigeria

Author

Listed:
  • Glenn P. Jenkins

    (Queen’s University, Kingston, Canada and Eastern Mediterranean University, North Cyprus)

  • Hope Amala Anyabolu

    (Department of Economics, Eastern Mediterranean University, Famagusta, TRNC via Mersin 10)

  • Pejman Bahramian

    (Department of Economics, Queen's University, Kingston, Ontario K7L 3N6, Canada)

Abstract

This study examines the determinants of the household healthcare expenditures using the Nigerian General Household Survey, Panel 2012/13. It was found that the key variables are the level of their total expenditures, the gender of the head of household, the size of the household and whether the age of the household members is over 60 years of age. Moreover, we found that the marginal propensity to spend on healthcare is larger for female- headed households and for households with either a head or other member of the household who are more than 60 years of age.

Suggested Citation

  • Glenn P. Jenkins & Hope Amala Anyabolu & Pejman Bahramian, 2019. "Family Decision Making on Healthcare Spending: New Evidence for Nigeria," Development Discussion Papers 2019-12, JDI Executive Programs.
    • Handle: RePEc:qed:dpaper:4534
    as

    Download full text from publisher

    File URL: http://cri-world.com/publications/qed_dp_4534.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Badi H. Baltagi & Raffaele Lagravinese & Francesco Moscone & Elisa Tosetti, 2017. "Health Care Expenditure and Income: A Global Perspective," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 863-874, July.
    2. Masterson, Thomas, 2012. "An Empirical Analysis of Gender Bias in Education Spending in Paraguay," World Development, Elsevier, vol. 40(3), pages 583-593.
    3. Noah Olasehinde & Olanrewaju Olaniyan, 2017. "Determinants of household health expenditure in Nigeria," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 44(12), pages 1694-1709, December.
    4. Kolawole Ogundari & Awudu Abdulai, 2014. "Determinants of Household's Education and Healthcare Spending in Nigeria: Evidence from Survey Data," African Development Review, African Development Bank, vol. 26(1), pages 1-14, March.
    5. Ogundari, Kolawole & Awokuse, Titus, 2018. "Human capital contribution to economic growth in Sub-Saharan Africa: Does health status matter more than education?," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 131-140.
    6. Bolaji Samson Aregbeshola & Samina Mohsin Khan, 2018. "Determinants of catastrophic health expenditure in Nigeria," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(4), pages 521-532, May.
    7. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    8. John Anyanwu & Andrew E. O. Erhijakpor, 2009. "Health Expenditures and Health Outcomes in Africa," African Development Review, African Development Bank, vol. 21(2), pages 400-433.
    9. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1, March.
    10. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    11. Steven T. Yen & Andrew M. Jones, 1996. "Individual cigarette consumption and addiction: A flexible limited dependent variable approach," Health Economics, John Wiley & Sons, Ltd., vol. 5(2), pages 105-117, March.
    12. Shamsul Arifeen Khan Mamun & Rasheda Khanam & Mohammad Mafizur Rahman, 2018. "The Determinants of Household Out-of-Pocket (OOP) Medical Expenditure in Rural Bangladesh," Applied Health Economics and Health Policy, Springer, vol. 16(2), pages 219-234, April.
    13. John Nixon & Philippe Ulmann, 2006. "The relationship between health care expenditure and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(1), pages 7-18, March.
    14. Xuedan You & Yasuki Kobayashi, 2011. "Determinants of out-of-pocket health expenditure in China," Applied Health Economics and Health Policy, Springer, vol. 9(1), pages 39-49, January.
    15. Abbas, Faisal & Hiemenz, Ulrich, 2011. "Determinants of Public Health expenditures in Pakistan," Discussion Papers 118422, University of Bonn, Center for Development Research (ZEF).
    16. Lloyd Ahamefule Amaghionyeodiwe, 2009. "Government health care spending and the poor: evidence from Nigeria," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 36(3), pages 220-236, February.
    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. Glenn P. Jenkins & Hope Amala Anyabolu & Pejman Bahramian, 2019. "Family decision-making for educational expenditure: new evidence from survey data for Nigeria," Applied Economics, Taylor & Francis Journals, vol. 51(52), pages 5663-5673, November.
    2. Abdul Malik Iddrisu & Michael Danquah & Alfred Barimah & Williams Ohemeng, 2020. "Gender, age cohort, and household investment in child schooling: New evidence from sub-Saharan Africa," WIDER Working Paper Series wp2020-9, World Institute for Development Economic Research (UNU-WIDER).
    3. David Aristei & Luca Pieroni, 2009. "Addiction, social interactions and gender differences in cigarette consumption," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(3), pages 245-272, August.
    4. Clement O. Codjia & Sayed H. Saghaian, 2022. "Determinants of Food Expenditure Patterns: Evidence from U.S. Consumers in the Context of the COVID-19 Price Shocks," Sustainability, MDPI, vol. 14(13), pages 1-17, July.
    5. Abdul Malik Iddrisu & Michael Danquah & Alfred Barimah & Williams Ohemeng, 2020. "Gender, age cohort, and household investment in child schooling: New evidence from sub-Saharan Africa," WIDER Working Paper Series wp-2020-9, World Institute for Development Economic Research (UNU-WIDER).
    6. Jensen, Kimberly L., 1995. "Fluid Milk Purchase Patterns In The South: Effects Of Use Of Nutrition Information And Household Characteristics," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(2), pages 1-14, December.
    7. Marcén, Miriam & Molina, José Alberto & Morales, Marina, 2018. "The effect of culture on the fertility decisions of immigrant women in the United States," Economic Modelling, Elsevier, vol. 70(C), pages 15-28.
    8. Iseghohi Judith Omon, 2021. "Migrant Remittances and Health Outcomes in the West Africa Monetary Zones (WAMZ)," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 24(81), pages 15-32, September.
    9. Liu, Hui, 2012. "Marital dissolution and self-rated health: Age trajectories and birth cohort variations," Social Science & Medicine, Elsevier, vol. 74(7), pages 1107-1116.
    10. Salmon, Claire & Tanguy, Jeremy, 2016. "Rural Electrification and Household Labor Supply: Evidence from Nigeria," World Development, Elsevier, vol. 82(C), pages 48-68.
    11. Kossi Atsutsè Dziédzom Tsomdzo & Yacobou Sanoussi & Kodjo Evlo, 2022. "Investissement en santé et état de santé dans les pays de l'UEMOA: entre contribution publique et privée?," African Development Review, African Development Bank, vol. 34(2), pages 244-254, June.
    12. Peter Howley & Emma Dillon & Thia Hennessy, 2014. "It’s not all about the money: understanding farmers’ labor allocation choices," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 31(2), pages 261-271, June.
    13. Richard Mussa, 2013. "Rural--urban differences in parental spending on children's primary education in Malawi," Development Southern Africa, Taylor & Francis Journals, vol. 30(6), pages 789-811, December.
    14. Wongnaa, Camillus Abawiera & Kyei, Afrane Baffour & Apike, Isaac Akurugu & Awunyo-Vitor, Dadson & Dziwornu, Raymond K., 2021. "Perception and Adoption of Artificial Pollination Technology in Cocoa Production: Evidence from Ghana," 2021 Conference, August 17-31, 2021, Virtual 314939, International Association of Agricultural Economists.
    15. Colm Harmon & Claire Finn & Arnaud Chevalier & Tarja Viitanen, 2006. "The economics of early childhood care and education : technical research paper for the National Economic and Social Forum," Open Access publications 10197/671, School of Economics, University College Dublin.
    16. Beltran, Jesusa C. & Pannell, David J. & Doole, Graeme J. & White, Benedict, 2011. "Factors that affect the use of herbicides in Philippine rice farming systems," Working Papers 108769, University of Western Australia, School of Agricultural and Resource Economics.
    17. Gert-Jan M. Linders & Henri L.F. de Groot, 2006. "Estimation of the Gravity Equation in the Presence of Zero Flows," Tinbergen Institute Discussion Papers 06-072/3, Tinbergen Institute.
    18. García, Jaume & Suárez, María José, 2023. "The relevance of specification assumptions when analyzing the drivers of physical activity practice," Economic Modelling, Elsevier, vol. 119(C).
    19. Thierry Laurent & Ferhat Mihoubi, 2012. "Sexual Orientation and Wage Discrimination in France: The Hidden Side of the Rainbow," Journal of Labor Research, Springer, vol. 33(4), pages 487-527, December.
    20. Jaison Chireshe & Matthew K. Ocran, 2020. "Health care expenditure and health outcomes in sub‐Saharan African countries," African Development Review, African Development Bank, vol. 32(3), pages 349-361, September.

    More about this item

    Keywords

    Household expenditures; Health Expenditure; Double Hurdle Model; Nigeria; female- headed households; General Household Survey.;
    All these keywords.

    JEL classification:

    • R29 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other
    • I10 - Health, Education, and Welfare - - Health - - - General
    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:qed:dpaper:4534. 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: Mark Babcock (email available below). General contact details of provider: https://edirc.repec.org/data/qedquca.html .

    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.