IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/29404.html
   My bibliography  Save this paper

Borrowing for hospitalization in India

Author

Listed:
  • Pal, Rama

Abstract

Borrowing to cover hospital costs is a major concern in developing countries, like India, as it may push households into despairs of poverty and indebtedness. The present study examines factors that lead to borrowing for hospitalization in case of Indian households. For this purpose, we use sample selection model. The analysis points out vulnerability of households from deprived sections of society and uneducated households, as they are more likely to borrow. Moreover, higher availability of public hospitals lowers probability of borrowing in rural areas. Thus, increasing coverage of public hospitals in rural areas might prove to be helpful.

Suggested Citation

  • Pal, Rama, 2010. "Borrowing for hospitalization in India," MPRA Paper 29404, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:29404
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/29404/1/MPRA_paper_29404.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Salem Deenadayalan Vaishnavi & Umakant Dash, 2009. "Catastrophic payments for health care among households in urban Tamil Nadu, India," Journal of International Development, John Wiley & Sons, Ltd., vol. 21(2), pages 169-184.
    2. Md. Azmal Kabir & Ataur Rahman & Sarah Salway & Jane Pryer, 2000. "Sickness among the urban poor: a barrier to livelihood security," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(5), pages 707-722.
    3. Sauerborn, R. & Adams, A. & Hien, M., 1996. "Household strategies to cope with the economic costs of illness," Social Science & Medicine, Elsevier, vol. 43(3), pages 291-301, August.
    4. Deepa Narayan & Patti Petesch, 2002. "Voices of the Poor : From Many Lands," World Bank Publications - Books, The World Bank Group, number 14053, December.
    5. 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.
    6. Krishna, Anirudh, 2006. "Pathways out of and into poverty in 36 villages of Andhra Pradesh, India," World Development, Elsevier, vol. 34(2), pages 271-288, February.
    7. Russell, Steven & Gilson, Lucy, 2006. "Are health services protecting the livelihoods of the urban poor in Sri Lanka? Findings from two low-income areas of Colombo," Social Science & Medicine, Elsevier, vol. 63(7), pages 1732-1744, October.
    8. Gabriela Flores & Jaya Krishnakumar & Owen O'Donnell & Eddy van Doorslaer, 2008. "Coping with health‐care costs: implications for the measurement of catastrophic expenditures and poverty," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1393-1412, December.
    9. Krishna, Anirudh, 2004. "Escaping Poverty and Becoming Poor: Who Gains, Who Loses, and Why?," World Development, Elsevier, vol. 32(1), pages 121-136, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pushpendra Singh & Virendra Kumar, 2017. "The Rising Burden of Healthcare Expenditure in India: A Poverty Nexus," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 741-762, September.

    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. Rama Pal, 2012. "Measuring incidence of catastrophic out-of-pocket health expenditure: with application to India," International Journal of Health Economics and Management, Springer, vol. 12(1), pages 63-85, March.
    2. Pattison-Williams, John K. & Haggar, Jeremy P. & Morton, John F., 2018. "Intergenerational perceptions of household wellbeing in India’s Western and Eastern Ghats," World Development Perspectives, Elsevier, vol. 10, pages 51-57.
    3. Indrani Gupta & William Joe, 2013. "Refining estimates of catastrophic healthcare expenditure: an application in the Indian context," International Journal of Health Economics and Management, Springer, vol. 13(2), pages 157-172, June.
    4. Salem Deenadayalan Vaishnavi & Umakant Dash, 2009. "Catastrophic payments for health care among households in urban Tamil Nadu, India," Journal of International Development, John Wiley & Sons, Ltd., vol. 21(2), pages 169-184.
    5. Gabriela Flores & Jaya Krishnakumar & Owen O'Donnell & Eddy van Doorslaer, 2008. "Coping with health‐care costs: implications for the measurement of catastrophic expenditures and poverty," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1393-1412, December.
    6. Gabriela Flores & Jaya Krishnakumar & Owen O'Donnell & Eddy van Doorslaer, 2008. "Coping with health-care costs: implications for the measurement of catastrophic expenditures and poverty," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1393-1412.
    7. Kuangnan Fang & Yefei Jiang & BenChang Shia & Shuangge Ma, 2012. "Impact of Illness and Medical Expenditure on Household Consumptions: A Survey in Western China," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
    8. Rishi Kumar, 2022. "Household poverty dynamics in tribal Madhya Pradesh, India: A case study of 54 villages," Poverty & Public Policy, John Wiley & Sons, vol. 14(2), pages 184-203, June.
    9. Navneet Manchanda & Dil Bahadur Rahut, 2021. "Inpatient Healthcare Financing Strategies: Evidence from India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(6), pages 1729-1767, December.
    10. Watmough, Gary R. & Atkinson, Peter M. & Saikia, Arupjyoti & Hutton, Craig W., 2016. "Understanding the Evidence Base for Poverty–Environment Relationships using Remotely Sensed Satellite Data: An Example from Assam, India," World Development, Elsevier, vol. 78(C), pages 188-203.
    11. Munshi Sulaiman, 2006. "Using Change Rankings to Understand Poverty Dynamics: Examining the Impact of CFPR/TUP from Community Perspective," Working Papers id:651, eSocialSciences.
    12. Eddy van Doorslaer, 2007. "Paying Out-of-Pocket for Health Care in Asia: Catastrophic and Poverty Impact," Working Papers id:823, eSocialSciences.
    13. Rama Pal, 2010. "Analysing Catastrophic OOP Health Expenditure in India : Concepts, Determinants and Policy Implications," Microeconomics Working Papers 22775, East Asian Bureau of Economic Research.
    14. Caroline Wilson, 2009. "Dis-embedding Health Care," Journal of South Asian Development, , vol. 4(1), pages 83-101, April.
    15. Singh, K.M. & Singh, R.K.P. & Meena, M.S. & Kumar, Abhay & Jha, A.K. & Kumar, Anjani, 2012. "Rural Poverty in Jharkhand: An Empirical Exploration of Socioeconomic determinants," MPRA Paper 44811, University Library of Munich, Germany, revised 15 Dec 2012.
    16. Moya, Andrés & Carter, Michael R., 2019. "Violence and the formation of hopelessness: Evidence from internally displaced persons in Colombia," World Development, Elsevier, vol. 113(C), pages 100-115.
    17. Rama Pal, 2013. "Out-of-Pocket Health Expenditure: Impact on the Consumption of Indian Households," Oxford Development Studies, Taylor & Francis Journals, vol. 41(2), pages 258-279, June.
    18. Victoria Fan & Anup Karan & Ajay Mahal, 2012. "State health insurance and out-of-pocket health expenditures in Andhra Pradesh, India," International Journal of Health Economics and Management, Springer, vol. 12(3), pages 189-215, September.
    19. Afroza Begum & Syed Abdul Hamid, 2021. "Impoverishment impact of out-of-pocket payments for healthcare in rural Bangladesh: Do the regions facing different climate change risks matter?," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-21, June.
    20. Dhanaraj, Sowmya, 2014. "Health shocks and coping strategies: State health insurance scheme of Andhra Pradesh, India," WIDER Working Paper Series 003, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    Hospital costs; Borrowing; Sample Selection Model;
    All these keywords.

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I19 - Health, Education, and Welfare - - Health - - - Other

    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:pra:mprapa:29404. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.