IDEAS home Printed from https://ideas.repec.org/p/dia/wpaper/dt200613.html
   My bibliography  Save this paper

Mortality and survivors'consumption

Author

Listed:
  • Michael Grimm

    (University of Göttingen, Department of Economics, DIW and DIAL)

Abstract

The empirical evidence shows that in developing countries illness shocks can have a severe impact on household income. Few studies have so fare examined the effects of mortality. The major difference between illness and mortality shocks is that a death of a household member does not only induce direct costs such as medical and funeral costs and possibly a loss in income, but that also the number of consumption units in the household is reduced. Using data for Indonesia, I show that the economic costs related to the death of children and older persons seem to be fully compensated by the decrease of consumption units. In contrast, when prime-age adults die, survivors face additional costs and, in consequence, implement coping strategies. It is shown that these are quite efficient and it seems that in terms of consumption households even over-compensate their loss, although they may face a higher vulnerability in the longer term. The results suggest that the implementation of general formal safety nets can give priority to the insurance of other types of risks, such as unemployment, illness or natural disasters. _________________________________ Des études empiriques montrent que dans les pays en voie de développement des chocs sanitaires peuvent avoir des effets sévères sur le revenu des ménages. Peu d’analyses ont jusqu’à présent analysé l’impact de la mortalité. La différence majeure entre une période de maladie et la mortalité est qu’un décès d’un membre du ménage n’implique pas seulement des coûts directs comme des coûts funéraires et peut-être une perte de revenu, mais que le nombre des unités de consommation dans le ménage est également réduit. Utilisant des données de l’Indonésie, je montre que les coûts économiques reliés à un décès d’un enfant et d’une personne âgée semblent entièrement compensés par la réduction des unités de consommation. A l´inverse, si des adultes en âge d’activité décèdent, les survivants font face à des coûts supplémentaires et, en conséquence, instaurent des stratégies pour surmonter les difficultés engendrées par ces décès. Il est montré que ces stratégies sont très efficaces et il semble qu’en termes de consommation les ménages surcompensent eux-mêmes leur perte, il est cependant possible qu’ils fassent alors face à une plus forte vulnérabilité dans le long terme. Les résultats suggèrent que l’instauration des filets de sécurité peut donner priorité à l’assurance d’autres types de risques, comme le chômage, la maladie ou des catastrophes naturelles.

Suggested Citation

  • Michael Grimm, 2006. "Mortality and survivors'consumption," Working Papers DT/2006/13, DIAL (Développement, Institutions et Mondialisation).
  • Handle: RePEc:dia:wpaper:dt200613
    as

    Download full text from publisher

    File URL: https://dial.ird.fr/wp-content/uploads/2021/12/2006-13.pdf
    File Function: First version, 2006
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Stefan Dercon & Pramila Krishnan, 2000. "In Sickness and in Health: Risk Sharing within Households in Rural Ethiopia," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 688-727, August.
    2. Denis Cogneau & Michael Grimm, 2007. "The Measurement Of Income Distribution Dynamics When Demographics Are Correlated With Income," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(2), pages 246-274, June.
    3. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    4. Dercon, Stefan, 2004. "Growth and shocks: evidence from rural Ethiopia," Journal of Development Economics, Elsevier, vol. 74(2), pages 309-329, August.
    5. 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.
    6. Deaton, Angus S & Paxson, Christina H, 1998. "Aging and Inequality in Income and Health," American Economic Review, American Economic Association, vol. 88(2), pages 248-253, May.
    7. Elizabeth Frankenberg & James P. Smith & Duncan Thomas, 2003. "Economic Shocks, Wealth, and Welfare," Journal of Human Resources, University of Wisconsin Press, vol. 38(2).
    8. Stephan Klasen & Ingrid Woolard, 2009. "Surviving Unemployment Without State Support: Unemployment and Household Formation in South Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 18(1), pages 1-51, January.
    9. Lindelow, Magnus & Wagstaff, Adam, 2005. "Health shocks in China : are the poor and uninsured less protected ?," Policy Research Working Paper Series 3740, The World Bank.
    10. Skoufias, Emmanuel & Quisumbing, Agnes R., 2003. "Consumption insurance and vulnerability to poverty," FCND briefs 155, International Food Policy Research Institute (IFPRI).
    11. Robert M. Townsend, 1995. "Consumption Insurance: An Evaluation of Risk-Bearing Systems in Low-Income Economies," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 83-102, Summer.
    12. Paul Gertler & David I. Levine & Minnie Ames, 2004. "Schooling and Parental Death," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 211-225, February.
    13. Paul Gertler & Jonathan Gruber, 2002. "Insuring Consumption Against Illness," American Economic Review, American Economic Association, vol. 92(1), pages 51-70, March.
    14. Wagstaff, Adam, 2005. "The economic consequences of health shocks," Policy Research Working Paper Series 3644, The World Bank.
    15. Duncan Thomas & James P. Smith & Kathleen Beegle & Graciela Teruel & Elizabeth Frankenberg, 2002. "Wages, employment and economic shocks: Evidence from Indonesia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(1), pages 161-193.
    16. Ingrid Woolard & Stephan Klasen, 2005. "Determinants of Income Mobility and Household Poverty Dynamics in South Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 41(5), pages 865-897.
    17. Beegle, Kathleen, 2005. "Labor Effects of Adult Mortality in Tanzanian Households," Economic Development and Cultural Change, University of Chicago Press, vol. 53(3), pages 655-683, April.
    18. Mather, David & Donovan, Cynthia & Jayne, Thomas S. & Weber, Michael T. & Chapoto, Antony & Mazhangara, Edward & Bailey, Linda & Yoo, Kyeongwon & Yamano, Takashi & Mghenyi, Elliot W., 2004. "A Cross-Country Analysis of Household Responses to Adult Mortality in Rural Sub-Saharan Africa: Implications For HIV/AIDS Mitigation And Rural Development Policies," Food Security International Development Working Papers 54571, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    19. Rosenzweig, Mark R. & Pitt, Mark M., 1984. "Agricultural Prices, Food Consumption and the Health and Productivity of Farmers," Bulletins 7471, University of Minnesota, Economic Development Center.
    20. Alwyn Young, 2005. "The Gift of the Dying: The Tragedy of AIDS and the Welfare of Future African Generations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 423-466.
    21. Lisa A. Cameron & Christopher Worswick, 2003. "The Labor Market as a Smoothing Device: Labor Supply Responses to Crop Loss," Review of Development Economics, Wiley Blackwell, vol. 7(2), pages 327-341, May.
    22. Thomas F. Crossley & Steven Kennedy, 2000. "The Stability of Self Assessed Health Status," CEPR Discussion Papers 421, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    23. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    24. Kochar, Anjini, 1995. "Explaining Household Vulnerability to Idiosyncratic Income Shocks," American Economic Review, American Economic Association, vol. 85(2), pages 159-164, May.
    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. Kathleen Beegle & Joachim De Weerdt & Stefan Dercon, 2008. "Adult Mortality and Consumption Growth in the Age of HIV/AIDS," Economic Development and Cultural Change, University of Chicago Press, vol. 56(2), pages 299-326, January.
    2. Omar Mahmoud, Toman & Thiele, Rainer, 2009. "Does AIDS-related mortality reduce per-capita household income? Evidence from rural Zambia," Kiel Working Papers 1530, Kiel Institute for the World Economy (IfW Kiel).
    3. Jungho Kim & Alexia Prskawetz, 2010. "External Shocks, Household Consumption and Fertility in Indonesia," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(4), pages 503-526, August.
    4. Romano, Donato & Carraro, Alessandro, 2015. "Price Shocks, Vulnerability and Food and Nutrition Security among Rural and Urban Households in Tanzania," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207281, Italian Association of Agricultural and Applied Economics (AIEAA).
    5. Günther, Isabel & Harttgen, Kenneth, 2009. "Estimating Households Vulnerability to Idiosyncratic and Covariate Shocks: A Novel Method Applied in Madagascar," World Development, Elsevier, vol. 37(7), pages 1222-1234, July.

    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. Michael Grimm, 2010. "Mortality Shocks and Survivors’ Consumption Growth," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(2), pages 146-171, April.
    2. Günther, Isabel & Harttgen, Kenneth, 2009. "Estimating Households Vulnerability to Idiosyncratic and Covariate Shocks: A Novel Method Applied in Madagascar," World Development, Elsevier, vol. 37(7), pages 1222-1234, July.
    3. Issam Khelfaoui & Yuantao Xie & Muhammad Hafeez & Danish Ahmed & Houssem Eddine Degha & Hicham Meskher, 2022. "Effects of Health Shocks, Insurance, and Education on Income: Fresh Analysis Using CHNS Panel Data," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    4. Lindelow, Magnus & Wagstaff, Adam, 2005. "Health shocks in China : are the poor and uninsured less protected ?," Policy Research Working Paper Series 3740, The World Bank.
    5. Paul Gertler & Jonathan Gruber, 2002. "Insuring Consumption Against Illness," American Economic Review, American Economic Association, vol. 92(1), pages 51-70, March.
    6. Jean-Noël Senne, 2014. "Death and schooling decisions over the short and long run in rural Madagascar," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(2), pages 497-528, April.
    7. Letta, Marco & Montalbano, Pierluigi & Tol, Richard S.J., 2018. "Temperature shocks, short-term growth and poverty thresholds: Evidence from rural Tanzania," World Development, Elsevier, vol. 112(C), pages 13-32.
    8. Islam, Asadul & Maitra, Pushkar, 2012. "Health shocks and consumption smoothing in rural households: Does microcredit have a role to play?," Journal of Development Economics, Elsevier, vol. 97(2), pages 232-243.
    9. Mani, Subha & Mitra, Sophie & Sambamoorthi, Usha, 2018. "Dynamics in health and employment: Evidence from Indonesia," World Development, Elsevier, vol. 104(C), pages 297-309.
    10. Ahmed, Haseeb & Cowan, Benjamin, 2021. "Mobile money and healthcare use: Evidence from East Africa," World Development, Elsevier, vol. 141(C).
    11. Abhishek Dureja & Digvijay S. Negi, 2022. "Coping with the consequences of short‐term illness shocks: The role of intra‐household labor substitution," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1402-1422, July.
    12. Abegunde, Dele Olawale & Stanciole, Anderson E., 2008. "The economic impact of chronic diseases: How do households respond to shocks? Evidence from Russia," Social Science & Medicine, Elsevier, vol. 66(11), pages 2296-2307, June.
    13. Stefan Dercon, 0. "Fate and Fear: Risk and Its Consequences in Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 17(suppl_2), pages -127.
    14. Arjun S. Bedi & Sparrow, R.A., 2014. "Sickness and death," ISS Working Papers - General Series 51366, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    15. Yang, Yang & Jiang, Jialing & Yin, Zhichao, 2021. "Social networks, shocks, and household consumption in China," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 111-122.
    16. Sasiwooth Wongmonta, 2023. "The Impact of Parental Health Shocks on Child Schooling and Labor: Evidence from Thailand," PIER Discussion Papers 209, Puey Ungphakorn Institute for Economic Research.
    17. 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.
    18. Sophie Mitra & Michael Palmer & Daniel Mont & Nora Groce, 2016. "Can Households Cope with Health Shocks in Vietnam?," Health Economics, John Wiley & Sons, Ltd., vol. 25(7), pages 888-907, July.
    19. Khan, Farid & Bedi, Arjun S. & Sparrow, Robert, 2015. "Sickness and Death: Economic Consequences and Coping Strategies of the Urban Poor in Bangladesh," World Development, Elsevier, vol. 72(C), pages 255-266.
    20. Luca, Dara Lee & Bloom, David E., 2018. "The Returns to Parental Health: Evidence from Indonesia," IZA Discussion Papers 11987, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Mortality; consumption smoothing; risk; micro-model of consumption growth; Indonesia; Mortalité; lissage de consommation; risque; modèle micro-économique de la croissance de consommation; Indonésie.;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

    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:dia:wpaper:dt200613. 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: Loic Le Pezennec (email available below). General contact details of provider: https://edirc.repec.org/data/diallfr.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.