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Measuring the Impacts of Prime-age Adult Death on Rural Households in Kenya

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  • Yamano, Takashi
  • Jayne, Thomas S.

Abstract

Using a two-year panel of 1,422 Kenyan households surveyed in 1997 and 2000, we measure how primeage adult mortality affects rural households’ size and composition, agricultural production, asset levels, and off-farm income. First, the paper uses adult mortality rates from available data on an HIV-negative sample from neighboring Tanzania to predict the number of deaths that might have been expected in the absence of HIV, and compares this to the number of deaths actually recorded over the survey interval in the Kenyan sample. Based on this procedure, only a quarter of the prime-age female deaths in the 25-34 age range and about half of the male deaths in the 35-44 year age range age range could have been predicted on the basis of the HIV-negative Tanzanian adult mortality rates. In the Nyanza area, the discrepancies were even larger over a broader number of age/sex ranges. This provides a strong indication that AIDS accounts for a large proportion of the recorded deaths for these age/sex categories, particularly in the Nyanza area. Next, using a household fixed-effects model that controls for time-varying effects, we measure changes in outcomes between households afflicted by adult mortality vs. those not afflicted over the three-year survey period. The effects of adult death are highly sensitive to the gender and position of the deceased family member in the household. Households suffering the death of the head -of-household or spouse incurred a greater-than-one person loss in household size. The death of a male household head between 16 and 59 years is associated with a 68% reduction in the net value of the household’s crop production. However, these results are sensitive to age ranges chosen. Female head-of-household or spouse mortality causes a greater decline in cereal area cultivated, while cash crops such as coffee, tea, and sugar are most adversely affected in households incurring the death of a prime-age male head. Off-farm income is also significantly affected by the death of the male head of household, but not in the case of other adult members. The death of other prime-age family members is partially offset by an inflow of other individuals into the family. Other prime-age family members’ mortality has less dramatic effects on the households’ agricultural production, assets, and off-farm income. Lastly, there is little indication that households are able to recover quickly from the effects of prime-age head-of-household adult mortality; the effects on crop and non-farm incomes do not decay at least over the three-year survey interval. The paper concludes by discussing the implications of these findings for agricultural research and extension programs as well as for safety net programs designed to cushion the impacts of prime-age adult death.

Suggested Citation

  • Yamano, Takashi & Jayne, Thomas S., 2002. "Measuring the Impacts of Prime-age Adult Death on Rural Households in Kenya," Food Security Collaborative Working Papers 55152, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  • Handle: RePEc:ags:midcwp:55152
    DOI: 10.22004/ag.econ.55152
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    Cited by:

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    2. Takashi Yamano, 2007. "The long‐term impacts of orphanhood on education attainment and land inheritance among adults in rural Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 141-149, September.
    3. Christopher B. Barrett, 2005. "Rural poverty dynamics: development policy implications," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 45-60, January.
    4. Arndt, Channing, 2006. "HIV/AIDS, human capital, and economic growth prospects for Mozambique," Journal of Policy Modeling, Elsevier, vol. 28(5), pages 477-489, July.
    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. Ndirangu, Lydia K., 2008. "Effects of Ill Health and Weather Variability on Savings," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52151, African Association of Agricultural Economists (AAAE).
    7. Joseph F Feulefack & Martin K Luckert & Sandeep Mohapatra & Sean B Cash & Arif Alibhai & Walter Kipp, 2013. "Impact of Community-Based HIV/AIDS Treatment on Household Incomes in Uganda," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-7, June.
    8. Kristjanson, Patricia & Krishna, Anirudh & Radeny, Maren & Nindo, W., 2004. "Pathways out of Poverty in Western Kenya and the Role of Livestock," PPLPI Working Papers 23779, Food and Agriculture Organization of the United Nations, Pro-Poor Livestock Policy Initiative.
    9. Olwande, John & Smale, Melinda, 2014. "Commercialization Effects On Household Income, Poverty, And Diversification: A Counterfactual Analysis Of Maize Farmers In Kenya," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170028, Agricultural and Applied Economics Association.
    10. Donovan, Cynthia & Bailey, Linda & Mpyisi, Edson & Weber, Michael T., 2003. "Prime-Age Adult Morbidity and Mortality in Rural Rwanda: Effects on Household Income, Agricultural Production, and Food Security Strategies," Food Security Collaborative Working Papers 55387, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    11. Gebreselassie, Kidist & Price, Lisa & Wesseler, Justus & van Ierland, Ekko, 2008. "Impacts of HIV/AIDS on labour allocation and agrobiodiversity depend on the stage of the epidemic: case studies in Ethiopia," MPRA Paper 25608, University Library of Munich, Germany.
    12. Eicher, Carl K., 2004. "Rebuilding Africa'S Scientific Capacity In Food And Agriculture," Staff Paper Series 11543, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    13. Martine Visser & Frikkie Booysen, 2004. "Determinants of the choice of health care facility utilised by individuals in HIV/AIDS-affected households in the Free State province of South Africa," SALDRU/CSSR Working Papers 087, Southern Africa Labour and Development Research Unit, University of Cape Town.
    14. Ueyama, Mika, 2007. "Mortality, mobility, and schooling outcomes among orphans: Evidence from Malawi," IFPRI discussion papers 710, International Food Policy Research Institute (IFPRI).
    15. 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.
    16. Ndirangu, Lydia K. & Kimalu, Paul, 2004. "The Effects of HIV/Aids on Agricultural Production and Poverty in Kenya," 2004 Inaugural Symposium, December 6-8, 2004, Nairobi, Kenya 9538, African Association of Agricultural Economists (AAAE).
    17. Deborah Johnston, 2008. "Bias, Not Error: Assessments of the Economic Impact of HIV/AIDS Using Evidence from Micro Studies in Sub-Saharan Africa," Feminist Economics, Taylor & Francis Journals, vol. 14(4), pages 87-115.
    18. Gebreselassie, Kidist & Wesseler, Justus & van Ierland, Ekko C., 2007. "The Effect of HIV/AIDS Driven Labor Organization on Agrobiodiversity: an Empirical Study in Ethiopia," 106th Seminar, October 25-27, 2007, Montpellier, France 7929, European Association of Agricultural Economists.
    19. F. Le R. Booysen, 2004. "Income And Poverty Dynamics In Hiv/Aids‐Affected Households In The Free State Province Of South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 72(3), pages 522-545, September.

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    More about this item

    Keywords

    Health Economics and Policy;

    JEL classification:

    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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