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How responsive is body weight to transitory income changes? Evidence from rural Tanzania

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  • Bengtsson, Niklas

    (Department of Economics)

Abstract

We use time-series of rainfall along with individual fixed effects to estimate the response of body weight to transitory changes in house-hold income and expenditure. Our data consist of a longitudinal sample of subsistence farmers in rural Tazania, representing one of the poorest populations in the world. We find that the response of body weight to transitory changes in household income is positive on average, but that the impact decreases with age and being male. For female children, a ten percent increase in household income implies an increase in body weight with about 0.4 kilo. The body weight of male adults is practically invariant to income changes.

Suggested Citation

  • Bengtsson, Niklas, 2007. "How responsive is body weight to transitory income changes? Evidence from rural Tanzania," Working Paper Series 2007:20, Uppsala University, Department of Economics.
  • Handle: RePEc:hhs:uunewp:2007_020
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    1. John Strauss & Duncan Thomas, 1998. "Health, Nutrition, and Economic Development," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 766-817, June.
    2. Kenneth I. Wolpin & Mark R. Rosenzweig, 2000. "Natural "Natural Experiments" in Economics," Journal of Economic Literature, American Economic Association, vol. 38(4), pages 827-874, December.
    3. Subramanian, Shankar & Deaton, Angus, 1996. "The Demand for Food and Calories," Journal of Political Economy, University of Chicago Press, vol. 104(1), pages 133-162, February.
    4. Bouis, Howarth E. & Haddad, Lawrence J., 1992. "Are estimates of calorie-income fxelasticities too high? : A recalibration of the plausible range," Journal of Development Economics, Elsevier, vol. 39(2), pages 333-364, October.
    5. Elaina Rose, 1999. "Consumption Smoothing and Excess Female Mortality in Rural India," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 41-49, February.
    6. Takashi Yamano & Harold Alderman & Luc Christiaensen, 2005. "Child Growth, Shocks, and Food Aid in Rural Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 273-288.
    7. 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.
    8. Bhargava, Alok, 1997. "Nutritional status and the allocation of time in Rwandese households," Journal of Econometrics, Elsevier, vol. 77(1), pages 277-295, March.
    9. Behrman, Jere R & Deolalikar, Anil B, 1987. "Will Developing Country Nutrition Improve with Income? A Case Study for Rural South India," Journal of Political Economy, University of Chicago Press, vol. 95(3), pages 492-507, June.
    10. Rose, Elaina, 2001. "Ex ante and ex post labor supply response to risk in a low-income area," Journal of Development Economics, Elsevier, vol. 64(2), pages 371-388, April.
    11. Alderman, Harold & Hoogeveen, Hans & Rossi, Mariacristina, 2006. "Reducing child malnutrition in Tanzania: Combined effects of income growth and program interventions," Economics & Human Biology, Elsevier, vol. 4(1), pages 1-23, January.
    12. Foster, Andrew D, 1995. "Prices, Credit Markets and Child Growth in Low-Income Rural Areas," Economic Journal, Royal Economic Society, vol. 105(430), pages 551-570, May.
    13. repec:bla:obuest:v:63:y:2001:i:4:p:409-36 is not listed on IDEAS
    14. Anjini Kochar, 1999. "Smoothing Consumption by Smoothing Income: Hours-of-Work Responses to Idiosyncratic Agricultural Shocks in Rural India," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 50-61, February.
    15. Lawrence Haddad & Harold Alderman & Simon Appleton & Lina Song & Yisehac Yohannes, 2003. "Reducing Child Malnutrition: How Far Does Income Growth Take Us?," The World Bank Economic Review, World Bank, vol. 17(1), pages 107-131, June.
    16. Deaton, Angus, 1992. "Understanding Consumption," OUP Catalogue, Oxford University Press, number 9780198288244.
    17. Jonathan Morduch, 1995. "Income Smoothing and Consumption Smoothing," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 103-114, Summer.
    18. Beegle, Kathleen & Dehejia, Rajeev H. & Gatti, Roberta, 2006. "Child labor and agricultural shocks," Journal of Development Economics, Elsevier, vol. 81(1), pages 80-96, October.
    19. Jere R. Behrman & Anil B. Deolalikar, 1990. "The Intrahousehold Demand for Nutrients in Rural South India: Individual Estimates, Fixed Effects, and Permanent Income," Journal of Human Resources, University of Wisconsin Press, vol. 25(4), pages 665-696.
    20. Behrman, Jere R & Deolalikar, Anil B, 1989. "Is Variety the Spice of Life? Implications for Calorie Intake," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 666-672, November.
    21. John Hoddinott & Bill Kinsey, 2001. "Child Growth in the Time of Drought," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(4), pages 409-436, September.
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    More about this item

    Keywords

    Income variability; Consumption; Nutrition; sub-Saharan Africa;
    All these keywords.

    JEL classification:

    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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