[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v9y2017i12p202-214.html
   My bibliography  Save this article

Consequences of HIV Infection on Household Assets and Human Capital Investment in Uganda: Micro Evidence

Author

Listed:
  • Buyinza Faisal
  • Teera Joweria
  • Bateganya Fred Henry
Abstract
This paper studies the effect of the HIV and AIDS epidemic on economic decision making using the Uganda National Household Survey (2010). The findings indicate that household¡¯s HIV and AIDS status, education and social-economic factors are important in explaining low household¡¯s asset accumulation and school enrolments of children in Uganda especially at primary school level. Household savings and assets accumulation findings show that household¡¯s HIV and AIDS status and their education levels, marital status and the employment status are consistently associated with lower savings. Major implications of these results is that raising women¡¯s education improves their economic opportunities and the behavioral responses in sexual interaction will lead to decline in HIV infection by reducing the willingness to engage in unprotected sex. In fact, we find that educational performance declines in those HIV infected households in which the father is living with HIV. The paper recognizes the policy challenges surrounding the HIV and AIDS -education linkage and considers some of the strategies that have been implemented to improve the schooling outcomes of children from households of people living with HIV (PLHIV). We find a weak positive effect of HIV infection on savings and a significant positive effect on school enrolment and educational expenses for children. High-perceived infection risk has a positive albeit imprecise influence on school enrollment and educational expenses, but no effect on savings.

Suggested Citation

  • Buyinza Faisal & Teera Joweria & Bateganya Fred Henry, 2017. "Consequences of HIV Infection on Household Assets and Human Capital Investment in Uganda: Micro Evidence," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(12), pages 202-214, December.
    • Handle: RePEc:ibn:ijefaa:v:9:y:2017:i:12:p:202-214
    as

    Download full text from publisher

    File URL: http://ccsenet.org/journal/index.php/ijef/article/view/71919/39317
    Download Restriction: no
    File URL: http://ccsenet.org/journal/index.php/ijef/article/view/71919
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yamano, Takashi & Jayne, T. S., 2004. "Measuring the Impacts of Working-Age Adult Mortality on Small-Scale Farm Households in Kenya," World Development, Elsevier, vol. 32(1), pages 91-119, January.
    2. Clive Bell & Shantayanan Devarajan & Hans Gersbach, 2003. "The long-run economic costs of AIDS : theory and an application to South Africa," Policy Research Working Paper Series 3152, The World Bank.
    3. Channing Arndt & Jeffrey D. Lewis, 2001. "The HIV|AIDS pandemic in South Africa: sectoral impacts and unemployment," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(4), pages 427-449.
    4. John C. Caldwell, 2000. "Rethinking the African AIDS Epidemic," Population and Development Review, The Population Council, Inc., vol. 26(1), pages 117-135, March.
    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. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2008. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 511-552.
    2. Yamano, Takashi & Jayne, T S, 2005. "Working-Age Adult Mortality and Primary School Attendance in Rural Kenya," Economic Development and Cultural Change, University of Chicago Press, vol. 53(3), pages 619-653, April.
    3. Jayne, Thomas S. & Villarreal, Marcela & Pingali, Prabhu L. & Hemrich, Gunter, 2004. "Interactions between the Agricultural Sector and the HIV/AIDS Pandemic: Implications for Agricultural Policy," ESA Working Papers 23804, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    4. Smith, Rodney B.W., 2003. "Aids And Economic Growth In South Africa," Conference Papers 28072, University of the Free State, Department of Agricultural Economics.
    5. Denis Cogneau & Michael Grimm, 2002. "AIDS and Income Distribution in Africa; A Micro-simulation Study for Côte d'Ivoire," Working Papers DT/2002/15, DIAL (Développement, Institutions et Mondialisation).
    6. T. S. Jayne & Marcela Villarreal & Prabhu Pingali & Günter Hemrich, 2005. "HIV/AIDS and the Agricultural Sector: Implications for Policy in Eastern and Southern Africa," The Electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations, vol. 2(2), pages 158-181.
    7. Roe, Terry L. & Smith, Rodney B.W., 2004. "Incorporating Epidemiological Projections Of Morbidity And Mortality Into An Open Economy Growth Model: Aids In South Africa," 2004 Annual meeting, August 1-4, Denver, CO 20254, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Vasilakis, Chrysovalantis, 2012. "The social economic impact of AIDS: Accounting for intergenerational transmission, productivity and fertility," Economic Modelling, Elsevier, vol. 29(2), pages 369-381.
    9. Thornton, Rebecca L., 2012. "HIV testing, subjective beliefs and economic behavior," Journal of Development Economics, Elsevier, vol. 99(2), pages 300-313.
    10. Jensen, Henning Tarp & Keogh-Brown, Marcus & Smith, Richard & Bretcher, Michael & Chico, Matthew, 2013. "Malaria in Ghana: Integrated Macroeconomic and Epidemiological-Demographic Impact Assessment," Conference papers 332397, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. de Araujo, Pedro & Murray, James, 2010. "A Life Insurance Deterrent to Risky Behavior in Africa," MPRA Paper 22675, University Library of Munich, Germany.
    12. Thurlow, James, 2007. "Is HIV/AIDS undermining Botswana's ‘success story'? implications for development strategy," IFPRI discussion papers 697, International Food Policy Research Institute (IFPRI).
    13. Roe, Terry L. & Smith, Rodney B.W., 2008. "Disease dynamics and economic growth," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 145-168.
    14. Ferdinando Regalia & Christof Kuechemann & Elisa Fernández & Janine Perfit & André Medici & Claudia Piras & Michael Toman & Trond Augdal & Viola Espínola & José Brakarz & Eduardo Rojas & David Wilk & , 2004. "Los objetivos de desarrollo del milenio en América Latina y el Caribe: Retos, acciones y compromisos," IDB Publications (Books), Inter-American Development Bank, number 41258, February.
    15. Pedro de Araujo, 2008. "The Socio-Economic Distribution of AIDS Incidence and Output," Caepr Working Papers 2008-014_updated, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington, revised Sep 2008.
    16. Margaret Chitiga‐Mabugu & Martin Henseler & Ramos Mabugu & Hélène Maisonnave, 2021. "Economic and Distributional Impact of COVID‐19: Evidence from Macro‐Micro Modelling of the South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 89(1), pages 82-94, March.
    17. Marine de Talance, 2017. "Quality Perceptions and School Choice in Rural Pakistan," Working Papers hal-01663029, HAL.
    18. Aditya Goenka & Lin Liu, 2012. "Infectious diseases and endogenous fluctuations," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 50(1), pages 125-149, May.
    19. Anubhab Gupta & Heng Zhu & Miki Khanh Doan & Aleksandr Michuda & Binoy Majumder, 2021. "Economic Impacts of the COVID−19 Lockdown in a Remittance‐Dependent Region," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 466-485, March.
    20. Nicolas Couderc & Nicolas Drouhin & Bruno Ventelou, 2006. "SIDA et croissance économique : le risque d'une « trappe épidémiologique »," Revue d'économie politique, Dalloz, vol. 116(5), pages 697-715.

    More about this item

    Keywords

    HIV infection; household saving; asset accumulation and education;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijefaa:v:9:y:2017:i:12:p:202-214. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.